00000naa a2200000 4500 10.1007_978-3-030-46417-2_8 OREX-CRIS 261111s2020 sp 000 0 eng d m o h cr ||||||||||| 0302-9743 1611-3349 10.1007/978-3-030-46417-2_8 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Maués, Dener, autor aut Oliveira Alves, Ronnie Cley de, autor aut (orcid)0000-0003-4139-0562 Guimarães, Luís Carlos, autor aut (orcid)0000-0002-7147-9448 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Silva, Artur, autor aut (orcid)0000-0002-4082-1132 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 De Morais, Jefferson Magalhaes, autor aut (orcid)0000-0002-8566-3238 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 A clustering approach to identify candidates to housekeeping genes based on rna-seq data Edian F. Franco; Dener Maués; Ronnie Cley de Oliveira Alves; Luís Carlos Guimarães; Vasco Azevedo [et al.] s.n. 2020 páginas 83-95 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 0302-9743 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 2 | Cuartil SJR: Q3 Housekeeping gene Gene Computational biology Housekeeping Gene expression In silico RNA-Seq Biology Computer science Genetics Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 0302-9743 p. 83-95, (2020) doi:10.1007/978-3-030-46417-2_8 https://doi.org/10.1007/978-3-030-46417-2_8 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1007_978-3-030-58799-4_51 OREX-CRIS 261111s2020 sp 000 0 eng d m o h cr ||||||||||| 0302-9743 1611-3349 10.1007/978-3-030-58799-4_51 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rueda, Edwin J., autor aut (orcid)0000-0003-2818-1555 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Belo, Orlando, autor aut (orcid)0000-0003-2157-8891 De Morais, Jefferson Magalhaes, autor aut (orcid)0000-0002-8566-3238 One-Class SVM to Identify Candidates to Reference Genes Based on the Augment of RNA-seq Data with Generative Adversarial Networks Edian F. Franco; Edwin J. Rueda; Rommel Thiago Jucá Ramos; Orlando Belo; Jefferson Magalhaes De Morais s.n. 2020 páginas 704-717 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 0302-9743 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 0 | Cuartil SJR: Q3 Computer science Support vector machine RNA-Seq Generative adversarial network In silico Artificial intelligence Classifier (UML) Gene Machine learning Data mining Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 0302-9743 p. 704-717, (2020) doi:10.1007/978-3-030-58799-4_51 https://doi.org/10.1007/978-3-030-58799-4_51 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1007_978-981-33-6191-1_11 OREX-CRIS 261111s2021 sp 000 0 eng d m o h cr ||||||||||| 1687-8027 1687-8035 10.1007/978-981-33-6191-1_11 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Araújo, Fabrício Almeida, autor aut (orcid)0000-0001-8134-5964 Q. Cavalcante, Ana Lídia, autor aut (orcid)0000-0001-7750-1418 Barros Braga, Marcus de, autor aut (orcid)0000-0003-1621-4460 Kato, Rodrigo Bentes, autor aut (orcid)0000-0002-9046-1702 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Computational Genomics Edian F. Franco; Fabrício Almeida Araújo; Ana Lídia Q. Cavalcante; Marcus de Barros Braga; Rodrigo Bentes Kato [et al.] s.n. 2021 páginas 213-241 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Advances in Bioinformatics 1687-8027 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 7 | Cuartil SJR: Q2 Computational genomics Computer science Genome Genomics DNA sequencing Computational biology Volume (thermodynamics) Data mining Biology Gene Advances in Bioinformatics 1687-8027 p. 213-241, (2021) doi:10.1007/978-981-33-6191-1_11 https://doi.org/10.1007/978-981-33-6191-1_11 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1016_b978-0-323-89778-5.00006-4 OREX-CRIS 261111s2022 sp 000 0 eng d m o h cr ||||||||||| 10.1016/b978-0-323-89778-5.00006-4 doi OREX-CRIS spa rda OREX-CRIS eng Torres, Renato Hidaka, autor aut (orcid)0000-0001-7069-945X Araújo, Fabrício Almeida, autor aut (orcid)0000-0001-8134-5964 Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Barh, Debmalya, autor aut (orcid)0000-0002-2557-7768 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Barros Braga, Marcus de, autor aut (orcid)0000-0003-1621-4460 Deep Learning applied to computational biology and agricultural sciences Renato Hidaka Torres; Fabrício Almeida Araújo; Edian Franklin Franco De Los Santos; Debmalya Barh; Rommel Thiago Jucá Ramos [et al.] s.n. 2022 páginas 589-618 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Bioinformatics in Agriculture Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso restringido Citas OpenAlex: 1 Deep learning Artificial intelligence Computer science Field (mathematics) Data science Convolutional neural network Machine learning Artificial neural network Mathematics Bioinformatics in Agriculture p. 589-618, (2022) doi:10.1016/b978-0-323-89778-5.00006-4 https://doi.org/10.1016/b978-0-323-89778-5.00006-4 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1101_2022.09.19.508624 OREX-CRIS 261111s2022 sp o 000 0 eng d m o h cr ||||||||||| 10.1101/2022.09.19.508624 doi OREX-CRIS spa rda OREX-CRIS eng Rodriguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Bonnelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Q. Cavalcante, Ana Lídia, autor aut (orcid)0000-0001-7750-1418 Rosario Zorrilla, Camila Del, autor aut Calderón, Victor V., autor aut (orcid)0000-0002-8537-1358 Duarte, Albert, autor aut Baraúna, Rafael, autor aut (orcid)0000-0002-7837-7380 Ramos, Rommel T., autor aut (orcid)0000-0002-8032-1474 de Francisco, Luis E. Rodriguez, autor aut (orcid)0000-0001-9146-8634 Maroto, Luis O., autor aut (orcid)0000-0001-8854-5512 Perdomo, Omar P., autor aut (orcid)0000-0002-9937-0153 Antimicrobial Susceptibility Profiles of Bacteria Isolated from The Ozama River in Santo Domingo, Dominican Republic Yaset Rodriguez; Edian F. Franco; Roberto Bonnelly; Ana Lídia Q. Cavalcante; Camila Del Rosario Zorrilla [et al.] s.n. 2022 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier [] Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN ABSTRACT The dissemination of antimicrobial-resistant bacteria in environmental waters is an emerging concern in medical and industrial settings. In the present study, our research team analyzed superficial water samples from 3 different collection sites along the Ozama River, the most important river in the Dominican metropolitan area. Seventy-six isolates were obtained from culture media previously enriched with cefotaxime and imipenem and subsequently identified by MALDI-ToF. Our isolates spanned 12 genera of bacteria; over 30% were of clinical relevance, and 43% exhibited a phenotype classified as multi-drug resistance. The most frequent species identified as Stenotrophomonas maltophilia (n = 33), an emerging nosocomial pathogen. This study constitutes part of the initiative to understand the profiles of the perils of multi-drug resistance in metropolitan areas of the Dominican Republic: a nation with poor antibiotic use regulation. IMPORTANCE Nearly two billion people are sourcing their water from low-quality reservoirs world-wide. These reservoirs consist of contaminated waters with anthropogenic pollutants such as antibiotics, disinfectants, and other substances used to treat water in societies with scarce resources and unregulated industries. Furthermore, the exposure of these antibiotics to potable water reservoirs promotes the increase of clinically relevant bacteria with antibiotic-resistance capabilities, becoming a public health crisis. Therefore, treating patients with infectious diseases and providing prophylactic measures against infection-associated conditions (such as post-surgical recovery) has become progressively more difficult. Based on this evidence frame, it is of considerable importance to analyze the bacterial profiles of rivers that fall prey to anthropogenic contamination, as these investigations on antibiotic resistance will, of course, benefit the life of humans. Citas OpenAlex: 1 antimicrobial resistance multidrug resistance environmental water contamination Stenotrophomonas maltophilia river water bacteria antibiotic resistance genes anthropogenic pollution nosocomial pathogens antibiotic use regulation Santo Domingo [] (2022) doi:10.1101/2022.09.19.508624 https://doi.org/10.1101/2022.09.19.508624 Texto completo vía DOI Versión publicada https://www.biorxiv.org/content/biorxiv/early/2022/09/22/2022.09.19.508624.full.pdf Acceso abierto ART 00000nab a2200000 4500 10.1111_1751-7915.70256 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 1751-7915 1751-7907 10.1111/1751-7915.70256 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 da Rocha, Ulisses Nunes, autor aut (orcid)0000-0001-6972-6692 Bonidia, Robson Parmezan, autor aut (orcid)0000-0003-4975-7867 Kong, Jude Dzevela, autor aut (orcid)0000-0002-7557-5672 Dauhajre, Mariana, autor aut (orcid)0000-0002-0141-0920 Struchiner, Claudio José, autor aut (orcid)0000-0003-2114-847X Goedert, Guilherme Tegoni, autor aut (orcid)0000-0002-4759-1296 Stadler, Peter Florian, autor aut (orcid)0000-0002-5016-5191 Sanches, Danilo Sipoli, autor aut (orcid)0000-0002-8972-5221 Day, Troy, autor aut (orcid)0000-0002-1052-6140 Castro, Márcia C., autor aut (orcid)0000-0003-4606-2795 Edmunds, John, autor aut Colome Hidalgo, Manuel Emilio, autor aut (orcid)0000-0002-4562-6491 Herrera Morban, Demian Arturo, autor aut (orcid)0000-0002-6678-6064 Ugarte‐Gil, César, autor aut (orcid)0000-0002-2833-9087 Espinoza‐Lopez, Patricia, autor aut (orcid)0009-0007-3949-1790 Carrasco‐Escobar, Gabriel, autor aut (orcid)0000-0002-6945-0419 Souza Carvalho, André de, autor aut (orcid)0000-0001-9172-3498 Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries Edian F. Franco; Ulisses Nunes da Rocha; Robson Parmezan Bonidia; Jude Dzevela Kong; Mariana Dauhajre [et al.] s.n. 2025 páginas e70256-e70256 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Microbial Biotechnology 1751-7915 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Infectious diseases continue to pose a significant global health challenge, necessitating innovative approaches for predicting outbreaks, detecting variants, conducting contact tracing, discovering new drugs and managing misinformation. Artificial intelligence (AI) has significantly supported work in these areas, particularly during the COVID-19 pandemic. However, the benefits of AI must be equitably distributed, and its use must be responsible and inclusive. As various nations implement AI regulations, the global nature of AI necessitates international collaboration to establish ethical guidelines and governance frameworks. In response to these needs, the Global South AI for Pandemic & Epidemic Preparedness & Response Network (AI4PEP) is leading a multinational effort across 16 countries to strengthen public health systems through responsible, Southern-led AI solutions. This opinion piece highlights AI4PEP's initiatives in Latin America and the Caribbean (LAC), examining the region's AI governance models and the challenges they present. By lowering barriers to AI adoption and fostering equitable access to AI-driven public health innovations, our network empowers researchers, healthcare professionals and policymakers in LAC to harness AI for infectious disease preparedness and response, ultimately improving health outcomes in low- and middle-income countries. Citas OpenAlex: 2 | Cuartil SJR: Q1 Preparedness Latin Americans Global health Pandemic Public health Corporate governance Global governance Multinational corporation Global network Microbial Biotechnology 1751-7915 vol. 18, n. 10, p. e70256-e70256, (2025) doi:10.1111/1751-7915.70256 https://doi.org/10.1111/1751-7915.70256 Texto completo vía DOI Versión publicada https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1751-7915.70256 Acceso abierto ART 00000nab a2200000 4500 10.1111_1758-2229.70435 OREX-CRIS 261111s2026 sp 000 0 spa d m o h cr ||||||||||| 10.1111/1758-2229.70435 doi OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Metagenomic Bioprospecting of Bioremediation‐Related Genes in Amazonian Aquatic Ecosystems s.n. 2026 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Environmental Microbiology Reports Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Citas OpenAlex: 0 Environmental Microbiology Reports (2026) doi:10.1111/1758-2229.70435 https://doi.org/10.1111/1758-2229.70435 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1128_aem.01470-24 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 0099-2240 1070-6291 10.1128/aem.01470-24 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Martins, David Tavares, autor aut (orcid)0009-0008-2595-8756 Cardenas Alegria, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Dias Dantas, Carlos Willian, autor aut (orcid)0000-0002-3681-7886 Monteiro Pontes, Paulo Rógenes, autor aut (orcid)0000-0002-8172-7820 Lopes Cavalcante, Rosane Barbosa, autor aut (orcid)0000-0002-5941-6460 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 CrAssphage distribution analysis in an Amazonian river based on metagenomic sequencing data and georeferencing Edian F. Franco; David Tavares Martins; Oscar Victor Cardenas Alegria; Carlos Willian Dias Dantas; Paulo Rógenes Monteiro Pontes [et al.] s.n. 2025 páginas e0147024-e0147024 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Applied and Environmental Microbiology 0099-2240 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — DIAMOND Viruses are the most abundant biological entities in all ecosystems of the world. Their ubiquity makes them suitable candidates for indicating fecal contamination in rivers. Recently, a group of Bacteroidetes bacteriophages named CrAssphages, which are highly abundant, sensitive, and specific to human feces, were studied as potential viral biomarkers for human fecal pollution in water bodies. In this study, we evaluated the presence, diversity, and abundance of viruses with a focus on crAssphages via metagenomic analysis in an Amazonian river and conducted correlation analyses on the basis of physicochemical and georeferencing data. Several significant differences in viral alpha diversity indexes were observed among the sample points, suggesting an accumulation of viral organisms in the river mouth, whereas beta diversity analysis revealed a significant divergence between replicates of the most downstream point (IT4) when compared to the rest of the samples, possibly due to increased human impact at this point. In terms of the presence of crAssphage, the analysis identified 61 crAssphage contigs distributed along the Itacaiúnas River. Moreover, our analysis revealed significant correlations between 19 crAssphage contigs and human population density, substantiating the use of these viruses as possible markers for human fecal pollution in the Itacaiúnas River. This study is the first to assess the presence of crAssphages in an Amazonian river, with results suggesting the potential use of these viruses as markers for human fecal pollution in the Amazon. IMPORTANCE: The Amazon biome is one of the most diverse ecosystems in the world and contains the most vast river network; however, the continuous advance of urban centers toward aquatic bodies exacerbates the discharge of pollutants into these water bodies. Fecal contamination contributes significantly to water pollution, and the application of an improved fecal indicator is essential for evaluating water quality. In th Citas OpenAlex: 2 | Cuartil SJR: Q1 Amazonian Metagenomics Amazon rainforest Biology Population Ecology Abundance (ecology) Applied and Environmental Microbiology 0099-2240 vol. 91, n. 5, p. e0147024-e0147024, (2025) doi:10.1128/aem.01470-24 https://doi.org/10.1128/aem.01470-24 Texto completo vía DOI Versión publicada https://doi.org/10.1128/aem.01470-24 Acceso abierto ART 00000nab a2200000 4500 10.1128_mra.00700-25 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 2576-098X 10.1128/mra.00700-25 doi OREX-CRIS spa rda OREX-CRIS eng Los Santos, Edian Franco Franklin de, autor aut (orcid)0000-0001-9715-9437 Martins, David Tavares, autor aut (orcid)0009-0008-2595-8756 Cardenas Alegria, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Cardoso, Thais Azevedo, autor aut Gomes Martins-Júnior, Antônio Márcio, autor aut (orcid)0000-0001-5341-6091 Maroto-Martin, Luiz Orlando, autor aut Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Cardoso, Tainã Figueiredo, autor aut (orcid)0000-0002-6038-7521 Draft genome of a multi-drug, metal and biocide-resistant strain of Klebsiella variicola isolated from the Yaque del Sur River in the Dominican Republic Edian Franco Franklin de Los Santos; David Tavares Martins; Oscar Victor Cardenas Alegria; Thais Azevedo Cardoso; Antônio Márcio Gomes Martins-Júnior [et al.] s.n. 2025 páginas e0070025-e0070025 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Microbiology Resource Announcements 2576-098X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — DIAMOND strain YSP4_INTEC was isolated from a Dominican Republic River and had its genome sequenced (size: 5,611,899 bp and GC content: 57.19%). The genomic analysis identified various genes involved in plant colonization mechanisms, plus a wide array of multi-drug, biocide, and multi-metal resistance genes. Citas OpenAlex: 0 | Cuartil SJR: Q3 Klebsiella variicola draft genome sequence antimicrobial resistance metal resistance biocide resistance multidrug resistance genes Microbiology Resource Announcements 2576-098X vol. 14, n. 11, p. e0070025-e0070025, (2025) doi:10.1128/mra.00700-25 https://doi.org/10.1128/mra.00700-25 Texto completo vía DOI Versión publicada https://doi.org/10.1128/mra.00700-25 Acceso abierto ART 00000nab a2200000 4500 10.1155_ijm_3219583 OREX-CRIS 261111s2026 sp o 000 0 eng d m o h cr ||||||||||| 1687-918X 1687-9198 10.1155/ijm/3219583 doi OREX-CRIS spa rda OREX-CRIS eng Rodríguez-Rodríguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Jáuregui-Haza, Ulises Javier, autor aut (orcid)0000-0002-6943-4873 Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Mejía Disla, Ashley Marie, autor aut (orcid)0009-0001-2256-0418 Reynoso Ortega, Máximo Elías, autor aut (orcid)0009-0005-7200-6289 Gandini, Gustavo, autor aut (orcid)0009-0008-3562-5744 Tejada-Tejada, Pamela, autor aut (orcid)0000-0002-8707-5755 Guevara, Miguel Ángel, autor aut (orcid)0000-0002-2319-5184 Dias Dantas, Carlos Willian, autor aut (orcid)0000-0002-3681-7886 Ramos, Rommel T., autor aut (orcid)0000-0002-8032-1474 Microbial Profiling and Biosafety Assessment of a Sargassum-Based Liquid Biofertilizer Using 16S rRNA Metagenomics Yaset Rodríguez-Rodríguez; Ulises Javier Jáuregui-Haza; Edian F. Franco; Ashley Marie Mejía Disla; Máximo Elías Reynoso Ortega [et al.] s.n. 2026 páginas 3219583-3219583 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier International Journal of Microbiology 1687-918X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Sargassum seaweed is increasingly abundant in the Caribbean, creating ecological disruption but also providing biomass for agricultural inputs. This study compares the microbial diversity and safety of a Sargassum ‐based liquid biofertilizer (SBLB‐INTEC) with those of a conventional product (LB‐BANELINO) using 16S rRNA amplicon sequencing, rather than culture‐dependent methods. Both formulations contained key nutrients (K, Ca, and Mg) and low levels of heavy metals. They harbored dense but relatively simple bacterial communities dominated by Firmicutes, particularly Bacilli, with Proteobacteria and other phyla at lower abundances. Staphylococcus (Staphylococcaceae) was highly abundant in both products, while SBLB‐INTEC showed a somewhat more balanced community, including Delftia and other Comamonadaceae. Shannon diversity tended to be higher in SBLB‐INTEC, but differences in alpha‐ and beta‐diversity between formulations were not statistically significant. Because 16S data cannot distinguish viable from nonviable cells or resolve strain‐level pathogenicity, these results do not prove the absence of pathogens; instead, they provide a genus‐level baseline to guide targeted culture, qPCR, and functional assays. Overall, the combination of a favorable chemical profile and microbial groups commonly associated with nutrient cycling and plant‐associated functions suggests that SBLB‐INTEC could become a valuable component of integrated nutrient management in tropical agriculture, offering hope for a more sustainable future pending confirmatory plant‐response and biosafety studies. We recommend integrating these microbial data into a national biofertilizer monitoring framework, combining metagenomic surveys with targeted qPCR and resistance gene screening. Citas OpenAlex: 1 | Cuartil SJR: Q1 Sargassum liquid biofertilizer seaweed biomass microbial diversity biosafety assessment 16S rRNA metagenomics Staphylococcus bacilli Firmicutes Proteobacteria International Journal of Microbiology 1687-918X vol. 2026, n. 1, p. 3219583-3219583, (2026) doi:10.1155/ijm/3219583 https://doi.org/10.1155/ijm/3219583 Texto completo vía DOI Versión publicada https://doi.org/10.1155/ijm/3219583 Acceso abierto ART 00000nab a2200000 4500 10.1186_s12859-024-05842-2 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 1471-2105 10.1186/s12859-024-05842-2 doi OREX-CRIS spa rda OREX-CRIS eng Dias Dantas, Carlos Willian, autor aut (orcid)0000-0002-3681-7886 Costa Neto, Sebastião Rodrigues da, autor aut Aguiar Alves, Sandy Ingrid, autor aut (orcid)0000-0002-9768-4319 Costa Pinheiro, Kenny da, autor aut (orcid)0000-0003-3452-9271 Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 SATIN: a micro and mini satellite mining tool of total genome and coding regions with analysis of perfect repeats polymorphism in coding regions Carlos Willian Dias Dantas; Sebastião Rodrigues da Costa Neto; Sandy Ingrid Aguiar Alves; Kenny da Costa Pinheiro; Edian Franklin Franco De Los Santos [et al.] s.n. 2024 páginas 217-217 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier BMC Bioinformatics 1471-2105 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD BACKGROUND: Tandem repeats are specific sequences in genomic DNA repeated in tandem that are present in all organisms. Among the subcategories of TRs we have Satellite repeats, that is divided into macrosatellites, minisatellites, and microsatellites, being the last two of specific interest because they can identify polymorphisms between organisms due to their instability. Currently, most mining tools focus on Simple Sequence Repeats (SSR) mining, and only a few can identify SSRs in the coding regions. RESULTS: We developed a microsatellite mining software called SATIN (Micro and Mini SATellite IdentificatioN tool) based on a new sliding window algorithm written in C and Python. It represents a new approach to SSR mining by addressing the limitations of existing tools, particularly in coding region SSR mining. SATIN is available at https://github.com/labgm/SATIN.git . It was shown to be the second fastest for perfect and compound SSR mining. It can identify SSRs from coding regions plus SSRs with motif sizes bigger than 6. Besides the SSR mining, SATIN can also analyze SSRs polymorphism on coding-regions from pre-determined groups, and identify SSRs differentially abundant among them on a per-gene basis. To validate, we analyzed SSRs from two groups of Escherichia coli (K12 and O157) and compared the results with 5 known SSRs from coding regions. SATIN identified all 5 SSRs from 237 genes with at least one SSR on it. CONCLUSIONS: The SATIN is a novel microsatellite search software that utilizes an innovative sliding window technique based on a numerical list for repeat region search to identify perfect, and composite SSRs while generating comprehensible and analyzable outputs. It is a tool capable of using files in fasta or GenBank format as input for microsatellite mining, also being able to identify SSRs present in coding regions for GenBank files. In conclusion, we expect SATIN to help identify potential SSRs to be used as genetic markers. Citas OpenAlex: 2 | Cuartil SJR: Q1 Microsatellite Tandem repeat Biology Genome Genetics Computational biology Computer science Gene Allele BMC Bioinformatics 1471-2105 vol. 25, n. 1, p. 217-217, (2024) doi:10.1186/s12859-024-05842-2 https://doi.org/10.1186/s12859-024-05842-2 Texto completo vía DOI Versión publicada https://link.springer.com/content/pdf/10.1186/s12859-024-05842-2.pdf Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints201906.0178.v1 OREX-CRIS 261111s2019 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints201906.0178.v1 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rana, Pratip, autor aut (orcid)0000-0001-9199-2479 Rao, Yug, autor aut Syed, Khajamoinuddin, autor aut (orcid)0000-0002-5433-2751 Barh, Debmalya, autor aut (orcid)0000-0002-2557-7768 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 Evaluation of the Genomic Basis for Alzheimer’s and Parkinson’s Diseases Edian F. Franco; Pratip Rana; Yug Rao; Khajamoinuddin Syed; Debmalya Barh [et al.] s.n. 2019 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Alzheimer's disease (AD) and Parkinson's disease (PD) are the most common neurodegenerative disorders related to aging. Though several risk factors are shared between these two diseases, the exact relationship between these two diseases is still unknown. In this paper, we analyzed how these diseases relate to each other from a genomics viewpoint. Using an extensive literature search, we accumulated the list of genes from the major genome-wide association (GWAS) studies. However, we found only one gene (HLA-DRB5) reported in these GWAS studies that are common between AD and PD. We also listed all the miRNAs that have been previously reported for AD and PD. Here we found 15 different miRNAs that were reported in both diseases. In order to get better insights, we predicted the gene coexpression network for both AD and PD. Network analysis on these networks show six clusters of genes related to AD and four clusters of genes related to PD. Citas OpenAlex: 22 Genome-wide association study Disease Biology Parkinson's disease Genetic association Gene Genetics Computational biology Single-nucleotide polymorphism Medicine Preprints.org (2019) doi:10.20944/preprints201906.0178.v1 https://doi.org/10.20944/preprints201906.0178.v1 Texto completo vía DOI Versión publicada https://www.preprints.org/manuscript/201906.0178/v1/download Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202006.0144.v1 OREX-CRIS 261111s2020 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202006.0144.v1 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rana, Pratip, autor aut (orcid)0000-0001-9199-2479 Q. Cavalcante, Ana Lídia, autor aut (orcid)0000-0001-7750-1418 Silva, Artur, autor aut (orcid)0000-0002-4082-1132 Carneiro, Adriana Ribeiro, autor aut (orcid)0000-0003-1522-9871 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Co-Expression Networks for Causal Gene Identification Based on RNA-seq Data of Corynebacterium Pseudotuberculosis Edian F. Franco; Pratip Rana; Ana Lídia Q. Cavalcante; Artur Silva; Adriana Ribeiro Carneiro [et al.] s.n. 2020 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Reprint Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Corynebacterium pseudotuberculosis is a Gram-positive bacterium that causes caseous lymphadenitis, a disease that predominantly affects sheep, goat, cattle, buffalo, and horses, but has also been recognized in other animals. This bacterium generates a severe economic impact on countries producing meat. Gene expression studies using RNA-seq is one of the most commonly used techniques to perform transcriptional experiments. Computational analysis on such data through reverse-engineering algorithms leads to a better understanding of the genome-wide complexity of gene interactomes, enabling the identification of genes having the most significant functions inferred by the activated stress response pathways. In this study, we identified the influential or causal genes from four RNA-seq data-sets from different stress conditions (high iron, low iron, acid, osmosis, and PH) in C. pseudotuberculosis, using a consensus-based network inference algorithm called miRsig and identified the causal genes in the network using the miRinfluence tool, which is based on the influence diffusion model. We found that over 50\% of the genes identified as influential have some essential cellular functions in the genomes. In the strains analyzed, most of the causal genes have crucial roles or participate in processes associated with response to extracellular stresses, pathogenicity, membrane components, and essential genes. This research brings new insight into the understanding of virulence and infection by C. pseudotuberculosis. Citas OpenAlex: 5 Corynebacterium pseudotuberculosis Caseous lymphadenitis Gene Biology Yersinia pseudotuberculosis Computational biology RNA-Seq Identification (biology) Genome Genetics Reprint (2020) doi:10.20944/preprints202006.0144.v1 https://doi.org/10.20944/preprints202006.0144.v1 Texto completo vía DOI Versión publicada https://doi.org/10.20944/preprints202006.0144.v1 Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202209.0098.v1 OREX-CRIS 261111s2022 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202209.0098.v1 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Bonelly, Roberto, autor aut Calderón, Víctor V., autor aut (orcid)0000-0002-8537-1358 Pinales, Confesora, autor aut (orcid)0000-0003-3387-556X Ortiz, Irene, autor aut (orcid)0000-0002-6584-3186 Ovando, Argenys, autor aut (orcid)0000-0002-9197-0533 Lara, Willy, autor aut Mateo-Perez, Santo E., autor aut Cardenas Alegria, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto, Luis O., autor aut Comparison of Two Bacterial Characterization Techniques for the Genomic Analysis of Aquatic Environments Edian F. Franco; Roberto Bonelly; Víctor V. Calderón; Confesora Pinales; Irene Ortiz [et al.] s.n. 2022 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Our research team compared the performance of matrix-assisted laser desorption/ionization followed by a time of flight (MALDI-TOF) mass spectrometry and genomic DNA extraction followed by sequencing, assembly and alignment for phylogenetic assessment. We performed these comparisons to determine our methodology’s overall efficacy and accuracy for environmental bacteria. In addition, we collected samples from various contaminated rivers in the Dominican Republic. For both methods, we analyzed these results and reported the main differences between each method. Citas OpenAlex: 4 genomic DNA Mass spectrometry Chromatography Extraction (chemistry) Computational biology DNA extraction Biology Environmental chemistry Analytical Chemistry (journal) Environmental science Preprints.org (2022) doi:10.20944/preprints202209.0098.v1 https://doi.org/10.20944/preprints202209.0098.v1 Texto completo vía DOI Versión publicada https://www.preprints.org/manuscript/202209.0098/v1/download Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202307.0696.v1 OREX-CRIS 261111s2023 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202307.0696.v1 doi OREX-CRIS spa rda OREX-CRIS eng Rodríguez-Rodríguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Bonnelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Calderon, Victor V., autor aut (orcid)0000-0002-8537-1358 Ortiz, Irene, autor aut (orcid)0000-0002-6584-3186 Ovando, Argenys, autor aut (orcid)0000-0002-9197-0533 Pinales, Confesora, autor aut (orcid)0000-0003-3387-556X Lara, Willy, autor aut Mateo-Perez, Santo Emilio, autor aut Cardenas-Alegría, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Comparison of Two Bacterial Characterization Techniques for the Genomic Analysis of River Microbiome Yaset Rodríguez-Rodríguez; Edian Franklin Franco De Los Santos; Roberto Bonnelly; Victor V. Calderon; Irene Ortiz [et al.] s.n. 2023 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GREEN We compared the performance of matrix-assisted laser desorption/ionization followed by a time of flight (MALDI-TOF) mass spectrometry and genomic DNA extraction followed by sequencing, assembly, and alignment for phylogenetic assessment (Genomics method). We collected the samples from four contaminated rivers in the Dominican Republic and analyzed MALDI-TOF efficacy and accuracy for identifying bacteria in the samples. We evaluated the results for both methods (MALDI-TOF and Genomics) and reported a similarity percentage between each method's results. The MALDI-TOF method had a 72.41\% of coincidence with the Genomics method. This could have been sequence contamination found in the Genomics method. When it was later filtered, the result's coincidence rate went up to 90\%. Citas OpenAlex: 4 MALDI-TOF mass spectrometry whole genome sequencing bacterial identification antibiotic resistance resource-constrained environments Preprints.org (2023) doi:10.20944/preprints202307.0696.v1 https://doi.org/10.20944/preprints202307.0696.v1 Texto completo vía DOI Versión publicada https://doi.org/10.20944/preprints202307.0696.v1 Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202411.1874.v1 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202411.1874.v1 doi OREX-CRIS spa rda OREX-CRIS eng Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Severino, Nicole, autor aut Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X Fernandez, Yumeris, autor aut Carvalho Azevedo, Vasco Ariston de, autor aut (orcid)0000-0002-4775-2280 De Francisco, Luis Enrique Rodríguez, autor aut (orcid)0000-0001-9146-8634 Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Bacterial Foodborne Diseases in Central America and the Caribbean: A Systematic Review Edian Franklin Franco De Los Santos; Nicole Severino; Claudia Reyes; Yumeris Fernandez; Vasco Ariston de Carvalho Azevedo [et al.] s.n. 2024 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GREEN Foodborne diseases (FBD) represent a significant public health concern, particularly in regions like Central America and the Caribbean (CAC), where surveillance gaps due to lack of resources, knowledge and technical abilities, hinder control over outbreaks. This review investigates the bacterial pathogens responsible for FBD, their prevalence, challenges in management, and strategies for prevention. A systematic review was conducted following PRISMA guidelines, focusing on bacterial FBD in CAC from 2000 to 2024. PubMed and Google Scholar were used as primary databases, supported by other sources to identify relevant studies. Inclusion criteria encompassed studies focusing on bacterial pathogens, prevalence, risk factors, and surveillance practices. Out of 509 studies initially identified, 35 met the inclusion criteria. The most prevalent pathogens were Salmonella spp., Escherichia coli, Campylobacter spp., and Aliarcobacter spp., with contamination often associated with poultry, eggs, and vegetables. Key challenges included inadequate surveillance systems, limited resources, and inconsistent reporting practices. Greater investment in pathogen monitoring, documentation, and education, along with the use of technologies like whole-genome sequencing (WGS), is crucial. Institutional and governmental funding is vital to improve surveillance and strengthen risk analysis across the region. Citas OpenAlex: 14 foodborne pathogens Salmonella Escherichia coli Campylobacter poultry contamination egg contamination vegetable contamination foodborne disease surveillance risk factors whole genome sequencing Preprints.org (2024) doi:10.20944/preprints202411.1874.v1 https://doi.org/10.20944/preprints202411.1874.v1 Texto completo vía DOI Versión publicada https://doi.org/10.20944/preprints202411.1874.v1 Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202411.1874.v2 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202411.1874.v2 doi OREX-CRIS spa rda OREX-CRIS eng Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Severino, Nicole, autor aut Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X Fernandez, Yumeris, autor aut Carvalho Azevedo, Vasco Ariston de, autor aut (orcid)0000-0002-4775-2280 De Francisco, Luis Enrique Rodríguez, autor aut Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Bacterial Foodborne Diseases in Central America and the Caribbean: A Systematic Review Edian Franklin Franco De Los Santos; Nicole Severino; Claudia Reyes; Yumeris Fernandez; Vasco Ariston de Carvalho Azevedo [et al.] s.n. 2025 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GREEN Foodborne diseases (FBD) represent a significant public health concern, particularly in regions like Central America and the Caribbean (CAC), where surveillance gaps due to lack of resources, knowledge and technical abilities, hinder control over outbreaks. This review investigates the bacterial pathogens responsible for FBD, their prevalence, challenges in management, and strategies for prevention. A systematic review was conducted following PRISMA guidelines, focusing on bacterial FBD in CAC from 2000 to 2024. PubMed and Google Scholar were used as primary databases, supported by other sources to identify relevant studies. Inclusion criteria encompassed studies focusing on bacterial pathogens, prevalence, risk factors, and surveillance practices. Out of 509 studies initially identified, 35 met the inclusion criteria. The most prevalent pathogens were Salmonella spp., Escherichia coli, Campylobacter spp., and Aliarcobacter spp., with contamination often associated with poultry, eggs, and vegetables. Key challenges included inadequate surveillance systems, limited resources, and inconsistent reporting practices. Greater investment in pathogen monitoring, documentation, and education, along with the use of technologies like whole-genome sequencing (WGS), is crucial. Institutional and governmental funding is vital to improve surveillance and strengthen risk analysis across the region. Citas OpenAlex: 14 foodborne pathogens Salmonella Escherichia coli Campylobacter poultry contamination egg contamination vegetable contamination foodborne disease surveillance risk factors whole genome sequencing Preprints.org (2025) doi:10.20944/preprints202411.1874.v2 https://doi.org/10.20944/preprints202411.1874.v2 Texto completo vía DOI Versión publicada https://doi.org/10.20944/preprints202411.1874.v2 Acceso abierto ART 00000naa a2200000 4500 10.20944_preprints202504.2450.v1 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 10.20944/preprints202504.2450.v1 doi OREX-CRIS spa rda OREX-CRIS eng Rodríguez-Rodríguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Los Santos, Edian F. Franco De, autor aut (orcid)0000-0001-9715-9437 Mejía-Disla, Ashley Marie, autor aut (orcid)0009-0001-2256-0418 Reynoso-Ortega, Máximo Elías, autor aut (orcid)0009-0005-7200-6289 Gandini, Gustavo, autor aut Tejeda-Tejeda, Pamela, autor aut (orcid)0000-0002-8707-5755 Guevara, Miguel Ángel, autor aut Dias Dantas, Carlos Willian, autor aut (orcid)0000-0002-3681-7886 J. Ramos, Rommel T., autor aut (orcid)0000-0002-8032-1474 Jáuregui-Haza, Ulises Javier, autor aut (orcid)0000-0002-6943-4873 Microbiological and Biosecurity Assessment of Sargassum‐Based Liquid Biofertilizers Yaset Rodríguez-Rodríguez; Edian F. Franco De Los Santos; Ashley Marie Mejía-Disla; Máximo Elías Reynoso-Ortega; Gustavo Gandini [et al.] s.n. 2025 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Preprints.org Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Sargassum seaweed has inundated Caribbean coastlines, disrupting ecosystems while presenting opportunities for sustainable products like liquid biofertilizers. This study evaluated the microbiological and biosecurity profiles of two liquid biofertilizers produced in the Dominican Republic: Sargassum-based (SBLB-INTEC) and conventional (LB-BANELINO). Both exhibited essential minerals (K, Ca, Mg) and low heavy metal concentrations, meeting agricultural safety standards. Metagenomic analysis (16S rRNA) identified diverse bacterial and archaeal communities, mainly consisting of beneficial taxa such as Firmicutes, Proteobacteria, and Methanobacteria, with no detectable pathogens. Ecotoxicological assays with Lactuca sativa showed phytotoxicity at high concentrations, mitigated by dilution (≤6.25%) and pH adjustment (7.0), achieving germination indexes above 80%. These results suggest that Sargassum-based biofertilizers could be a viable alternative for enhancing soil fertility and promoting sustainable crop production, particularly in coastal agricultural systems where conventional fertilizers may be limited or environmentally harmful. Moreover, this study highlights the critical role of ecotoxicological testing in ensuring biofertilizer safety and underscores Sargassum’s potential as a renewable resource for sustainable farming. Citas OpenAlex: 3 liquid biofertilizer biosecurity microbiological safety heavy metals bacterial and archaeal communities phytotoxicity lettuce ecotoxicology soil fertility coastal agriculture Preprints.org (2025) doi:10.20944/preprints202504.2450.v1 https://doi.org/10.20944/preprints202504.2450.v1 Texto completo vía DOI Versión publicada https://www.preprints.org/frontend/manuscript/ffaf78dd8d9fba29628347b1f841f51f/download_pub Acceso abierto ART 00000naa a2200000 4500 10.21203_rs.3.rs-6947971_v1 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 10.21203/rs.3.rs-6947971/v1 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Cardenas Alegria, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Dominguez-Araujo, Linette Indhira, autor aut Dias Danta, Carlos Willians, autor aut (orcid)0000-0002-3681-7886 Costa Ferreira, Victor Benedito, autor aut (orcid)0009-0002-3637-5544 da Silva, Luise Adriane Viana, autor aut Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X Fernandez, Yumeris, autor aut Valdez, Mariel Polanco, autor aut Rodríguez-Peña, Carlos M., autor aut Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Microbiota of the intestinal tract of salinity-tolerant Cyprinodon variegatus riverendi Edian F. Franco; Oscar Victor Cardenas Alegria; Linette Indhira Dominguez-Araujo; Carlos Willians Dias Danta; Victor Benedito Costa Ferreira [et al.] s.n. 2025 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Research Square Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Citas OpenAlex: 0 gut microbiota salt tolerance osmoregulation oxidative stress resistance Serratia marcescens Glutamicibacter Klebsiella pneumoniae methanogenic archaea giant viruses fungi Research Square (2025) doi:10.21203/rs.3.rs-6947971/v1 https://doi.org/10.21203/rs.3.rs-6947971/v1 Texto completo vía DOI Versión publicada https://www.researchsquare.com/article/rs-6947971/latest.pdf Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2019.v2i2.pp7-26 OREX-CRIS 261111s2019 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2019.v2i2.pp7-26 doi OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Ramos, Rommel J., autor aut Aprendizaje de máquina y aprendizaje profundo en biotecnología: aplicaciones, impactos y desafíos Edian F. Franco; Rommel J. Ramos s.n. 2019 páginas 7-26 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — DIAMOND La bioinformática es un área que ha modificado la forma en que se diseñan y se desarrollan los experimentos e investigaciones de las áreas biológicas. La biotecnología no ha quedado fuera de los alcances de la bioinformática, impactando directamente áreas como el descubrimiento y el desarrollo de fármacos, mejoramiento de cultivos, biorremediación, estudios de la diversidad ambiental, patología molecular, entre otras. Esto se debe, en gran medida, al desarrollo de las tecnologías de secuenciación de alto rendimiento o Next-generation sequencing (NGS), que han generado gran cantidad de datos que deben ser procesados y analizados para producir nuevos conocimientos y descubrimientos. Lo anterior ha promovido que dos áreas de la bioinformática y la ciencia de la computación, machine learning y deep learning, hayan sido utilizadas para el análisis de estos datos. El “aprendizaje de máquina” aplica técnicas que permiten que las computadoras aprendan, mientras que el “aprendizaje profundo” genera modelos de redes neuronales artificiales que intenta imitar el funcionamiento del cerebro humano, permitiéndoles aprender a partir de los datos y mejorar su aprendizaje a través de las experiencias. Estas dos áreas son esenciales para poder identificar, analizar, interpretar y obtener conocimientos de la gran cantidad de datos biológicos (Big biological data). En este trabajo hacemos una revisión de estas dos áreas: el aprendizaje de máquina y el aprendizaje profundo, orientado al impacto y sus aplicaciones en el área de biotecnología. Citas OpenAlex: 3 Humanities Philosophy Ciencia, Ambiente y Clima 2636-2317 vol. 2, n. 2, p. 7-26, (2019) doi:10.22206/cac.2019.v2i2.pp7-26 https://doi.org/10.22206/cac.2019.v2i2.pp7-26 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/1579/2173 Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2020.v3i1.pp5-21 OREX-CRIS 261111s2020 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2020.v3i1.pp5-21 doi OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Calderón, Víctor V., autor aut (orcid)0000-0002-8537-1358 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Modelos de predicción del impacto y evolución del COVID-19 en República Dominicana Edian F. Franco; Víctor V. Calderón; Rommel Thiago Jucá Ramos s.n. 2020 páginas 5-21 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: koha, openalex, orcid Acceso abierto — DIAMOND Después de su descubrimiento en China, en diciembre de 2019, el virus SARS-CoV-2 causante de la enfermedad COVID-19, comenzó a propagarse por la mayoría de los países del mundo, provocando una cantidad importante de infectados y muertos, situación que ha generado una gran presión en los sistemas de salud y gobiernos de los diferentes países, que en muchos casos no contaban con los recursos e infraestructuras para enfrentar una pandemia provocada por el virus, como fue el caso de República Dominicana. Usando los datos públicos del avance de la pandemia en la Republica Dominicana, desde el 1 de marzo hasta el 30 de abril, se modeló y pronosticó la posible evolución del COVID-19 en este país, utilizando de tres modelos matemáticos SIR, SEIR-Extendido y log-lineal. Estos modelos permitieron proyectar los diferentes escenarios de contagios y evolución de la enfermedad, además de pronosticar el pico y el descenso de la curva de casos. Según los resultados obtenidos, el país se encontraba en un proceso de crecimiento exponencial de los contagios; el pico de los contagios fue pronosticado ocurriría entre la segunda mitad del mes de mayo y la primera mitad del mes de junio, con un estimado de infectados entre 100,000 y 200,000 individuos. Los resultados obtenidos en este estudio permiten obtener una idea de cuál podría ser el impacto humano y social del COVID-19 en la República Dominicana. Citas OpenAlex: 2 Humanities Coronavirus disease 2019 (COVID-19) Geography Political science Philosophy Medicine COVID-19 Predicciones Modelos matemáticos Ciencia, Ambiente y Clima 2636-2317 vol. 3, n. 1, p. 5-21, (2020) doi:10.22206/cac.2020.v3i1.pp5-21 https://doi.org/10.22206/cac.2020.v3i1.pp5-21 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/1804/2333 Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2020.v3i2.pp5-18 OREX-CRIS 261111s2020 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2020.v3i2.pp5-18 doi OREX-CRIS spa rda OREX-CRIS spa Bello, Lizaira, autor aut (orcid)0000-0002-0258-3807 Marranzini, Camila, autor aut (orcid)0000-0003-3523-3915 Degaudenzi, Alejandro Vallejo, autor aut (orcid)0000-0003-2057-2332 Gómez, Aris Mendis, autor aut Echavarría, Enmanuel, autor aut (orcid)0000-0002-3891-9456 Franco, Edian F, autor aut (orcid)0000-0001-9715-9437 Determinación de contaminantes orgánicos persistentes en leche de vaca de producción nacional por medio de la técnica de cromatografía de gases acoplada a espectrometría de masas (GC/MS) Lizaira Bello; Camila Marranzini; Alejandro Vallejo Degaudenzi; Aris Mendis Gómez; Enmanuel Echavarría [et al.] s.n. 2020 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: koha, openalex, orcid Acceso abierto — DIAMOND Los contaminantes orgánicos persistentes (COP) son sustancias químicas orgánicas capaces de persistir en el ambiente, transportase a larga distancia, bioacumularse y biomagnificarse en los ecosistemas. Los efectos nocivos de estos compuestos sobre el medio ambiente y la salud de los seres vivos son preocupantes. En particular, los seres humanos pueden entrar en contacto con los COP al consumir alimentos contaminados de origen animal con un alto contenido en grasa. En la República Dominicana estos compuestos se han utilizado y generado ampliamente. Sin embargo, se desconoce cuáles son los niveles de exposición de COP a los que está expuesta la población. Por tanto, este estudio tuvo como objetivo determinar la presencia de 34 COP en cinco principales marcas de leche de vaca de producción nacional. La preparación de las muestras se realizó mediante el método de extracción QuEChERS y la técnica analítica utilizada fue la GC/MS. Los resultados obtenidos indicaron que no hay presencia de los COP evaluados en ninguna de las muestras de leche de vaca, lo cual sugiere que su consumo no representa una amenaza para la salud de los consumidores. Además, este estudio aporta al conocimiento sobre la evaluación de los COP en la República Dominicana. Citas OpenAlex: 0 persistent organic pollutants cow's milk milk contamination food safety consumer exposure QuEChERS gas chromatography-mass spectrometry Dominican Republic Contaminantes Leche Ciencia, Ambiente y Clima 2636-2317 (2020) doi:10.22206/cac.2020.v3i2.pp5-18 https://doi.org/10.22206/cac.2020.v3i2.pp5-18 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/2013/2455 Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2023.v6i1.pp45-70 OREX-CRIS 261111s2023 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2023.v6i1.pp45-70 doi OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Ovando, Argenys, autor aut (orcid)0000-0002-9197-0533 Montero-Espaillat, Emanuel, autor aut Bonilla, Solhanlle, autor aut Veda, Atharva, autor aut Sensores de calidad de agua para el control de la contaminación fisicoquímica en los acuíferos de Latinoamérica: una revisión Edian F. Franco; Rommel Thiago Jucá Ramos; Argenys Ovando; Emanuel Montero-Espaillat; Solhanlle Bonilla [et al.] s.n. 2023 páginas 45-70 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — DIAMOND El monitoreo de la calidad del agua es un aspecto crítico para garantizar agua segura y limpia para el consumo humano, los procesos industriales y la vida acuática. El empleo de sensores automáticos basados en el internet de las cosas y algoritmos de aprendizaje de máquina utilizados para el monitoreo de la calidad del agua se ha vuelto cada vez más popular, debido a su facilidad de uso, precisión y rentabilidad. En esta revisión, discutiremos algunos de los sensores comúnmente utilizados para la vigilancia de la calidad del agua, así como sus posibles usos para la gestión y supervisión de acuíferos en América Latina. En la primera parte se discute sobre la contaminación de las fuentes de agua en Latinoamérica y, especialmente, en República Dominicana, donde se brinda una revisión de los diferentes trabajos que evalúan la contaminación en afluentes de agua. Además, se explora como el uso cotidiano de estas fuentes de agua puede afectar a los seres humanos. En la última parte del trabajo se presentan las tecnologías de los sensores y sus diferentes implementaciones, así como los principales retos para su integración al monitoreo de la calidad de agua de las fuentes de agua. Esta revisión demostró que el uso de sensores remotos de calidad de agua, basados en tecnologías de IoT y algoritmos de inteligencia artificial son de gran importancia para el control de la contaminación fisicoquímica en los acuíferos de los países latinoamericanos. Estos sensores constituyen una herramienta clave para el manejo sostenible de los recursos hídricos. Citas OpenAlex: 8 Humanities Geography Art Ciencia, Ambiente y Clima 2636-2317 vol. 6, n. 1, p. 45-70, (2023) doi:10.22206/cac.2023.v6i1.pp45-70 https://doi.org/10.22206/cac.2023.v6i1.pp45-70 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/2878/3316 Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2024.v7i1.3177 OREX-CRIS 261111s2024 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2024.v7i1.3177 doi OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Abreu, Marqui Ramos, autor aut (orcid)0009-0002-6224-8282 Maroto Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 De Francisco, Luis Enrique, autor aut (orcid)0000-0001-9146-8634 Bioprospección de lectinas en plantas de la familia rubiaceae endémicas de la República Dominicana Edian F. Franco; Marqui Ramos Abreu; Luis Orlando Maroto Martín; Luis Enrique De Francisco s.n. 2024 páginas 99-122 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — DIAMOND Las lectinas son proteínas que se unen específicamente a carbohidratos de manera reversible y no catalítica. Debido a sus múltiples funciones biológicas dentro de los organismos, son de amplio interés en la biotecnología. Esta investigación tuvo por objetivo la detección y caracterización de lectinas en tres especies endémicas de la República Dominicana, pertenecientes a la familia Rubiaceae. De estas especies, se detectó al menos una posible lectina en las hojas de Stevensia grandiflora, fuertemente aglutinante para todos los grupos sanguíneos humanos y de forma leve para la levadura Saccharomyces cerevisiae. La lectina mostró estabilidad a 100°C, tener carácter glicoproteico, precipitar a concentraciones de 40% con sulfato de amonio y ser específica para los disacáridos sacarosa y lactosa. Además, mostró cierta especificidad frente a varios monosacáridos, característica semejante a las lectinas con dominios proteicos de leguminosas. Por otro lado, las bandas visualizadas en la electroforesis SDS-PAGE, en condiciones reductoras, demostraron la posible estructura monomérica o dimérica de la(s) lectina(s) detectada(s). Estos resultados representan nuevas lectinas para la tribu de rubiáceas Rondeletieae, con el potencial de servir como herramientas en biotecnología y medicina. Citas OpenAlex: 1 lectins Rubiaceae endemic plants lectin characterization agglutination Saccharomyces cerevisiae glycoproteins plant biotechnology Ciencia, Ambiente y Clima 2636-2317 vol. 7, n. 1, p. 99-122, (2024) doi:10.22206/cac.2024.v7i1.3177 https://doi.org/10.22206/cac.2024.v7i1.3177 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/3177/3691 Acceso abierto ART 00000nab a2200000 4500 10.22206_cac.2024.v7i2.3411 OREX-CRIS 261111s2025 sp o 000 0 spa d m o h cr ||||||||||| 2636-2317 2636-2333 10.22206/cac.2024.v7i2.3411 doi OREX-CRIS spa rda OREX-CRIS spa Díaz Jiménez, Johanna Antonia, autor aut (orcid)0009-0004-7026-4500 Maroto, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Ramos, Rommel T., autor aut (orcid)0000-0002-8032-1474 Domínguez, Boanerges, autor aut Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Modelos econométricos para determinar la calidad del agua en los ríos Yaque del Norte y Yaque del Sur de la República Dominicana: 1990-2022 Johanna Antonia Díaz Jiménez; Luis Orlando Maroto; Rommel T. Ramos; Boanerges Domínguez; Edian F. Franco s.n. 2025 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ambiente y Clima 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — DIAMOND Citas OpenAlex: 0 river water quality water quality index phosphate nitrate fecal coliforms total dissolved solids agricultural fertilizers urbanization climate extremes environmental policy Ciencia, Ambiente y Clima 2636-2317 (2025) doi:10.22206/cac.2024.v7i2.3411 https://doi.org/10.22206/cac.2024.v7i2.3411 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cienacli/article/download/3411/3939 Acceso abierto ART 00000nab a2200000 4500 10.3389_feduc.2021.726930 OREX-CRIS 261111s2021 sp o 000 0 eng d m o h cr ||||||||||| 2504-284X 10.3389/feduc.2021.726930 doi OREX-CRIS spa rda OREX-CRIS eng Barros Braga, Marcus de, autor aut (orcid)0000-0003-1621-4460 Araujo, Fabrício, autor aut Franco, Edian, autor aut (orcid)0000-0001-9715-9437 Costa Pinheiro, Kenny da, autor aut (orcid)0000-0003-3452-9271 Silva, Jakelyne, autor aut Maués, Denner, autor aut Costa Neto, Sebastião Rodrigues da, autor aut Pompeu, Lucas, autor aut Guimarães, Luís, autor aut (orcid)0000-0002-6921-3800 Carneiro, Adriana Ribeiro, autor aut (orcid)0000-0003-1522-9871 Hamoy, Igor, autor aut Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Bioinformatics on the Road: Taking Training to Students and Researchers Beyond State Capitals Marcus de Barros Braga; Fabrício Araujo; Edian Franco; Kenny da Costa Pinheiro; Jakelyne Silva [et al.] s.n. 2021 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Education 2504-284X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD In Brazil, training capable bioinformaticians is done, mostly, in graduate programs, sometimes with experiences during the undergraduate period. However, this formation tends to be inefficient in attracting students to the area and mainly in attracting professionals to support research projects in research groups. To solve these issues, participation in short courses is important for training students and professionals in the usage of tools for specific areas that use bioinformatics, as well as in ways to develop solutions tailored to the local needs of academic institutions or research groups. In this aim, the project “Bioinformática na Estrada” (Bioinformatics on the Road) proposed improving bioinformaticians’ skills in undergraduate and graduate courses, primarily in the countryside of the State of Pará, in the Amazon region of Brazil. The project scope is practical courses focused on the areas of interest of the place where the courses are occurring to train and encourage students and researchers to work in this field, reducing the existing gap due to the lack of qualified bioinformatics professionals. Theoretical and practical workshops took place, such as Introduction to Bioinformatics, Computer Science Basics, Applications of Computational Intelligence applied to Bioinformatics and Biotechnology, Computational Tools for Bioinformatics, Soil Genomics and Research Perspectives and Horizons in the Amazon Region. In the end, 444 undergraduate and graduate students from higher education institutions in the state of Pará and other Brazilian states attended the events of the Bioinformatics on the Road project. Citas OpenAlex: 3 | Cuartil SJR: Q2 Training (meteorology) State (computer science) Computer science Mathematics education Psychology Geography Meteorology Programming language Frontiers in Education 2504-284X vol. 6, (2021) doi:10.3389/feduc.2021.726930 https://doi.org/10.3389/feduc.2021.726930 Texto completo vía DOI Versión publicada https://doi.org/10.3389/feduc.2021.726930 Acceso abierto ART 00000nab a2200000 4500 10.3389_fenvs.2024.1404230 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 2296-665X 10.3389/fenvs.2024.1404230 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Cardenas Alegria, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Costa Ferreira, Victor Benedito, autor aut Noguera, Wylerson Guimarães, autor aut Martins, David Tavares, autor aut (orcid)0009-0008-2595-8756 Martins Neto, Artur Pedro, autor aut Monteiro Pontes, Paulo Rógenes, autor aut (orcid)0000-0002-8172-7820 Lopes Cavalcante, Rosane Barbosa, autor aut (orcid)0000-0002-5941-6460 Aguiar Alves, Sandy Ingrid, autor aut (orcid)0000-0002-9768-4319 Silva, Artur, autor aut (orcid)0000-0002-4082-1132 Costa, Rosilene Gomes, autor aut Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Microbiome analyses of the Uraim River in the Amazon and georeferencing analyses to establish correlation with anthropogenic impacts of land use Edian F. Franco; Oscar Victor Cardenas Alegria; Victor Benedito Costa Ferreira; Wylerson Guimarães Noguera; David Tavares Martins [et al.] s.n. 2024 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Environmental Science 2296-665X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD One of the primary challenges in the spread of infectious diseases is the consumption of poorly or untreated water, which is increasingly being used due to the growth of different human activities and the effect of urbanization on freshwater sources, which are often used for consumption purposes. The determination of pathogenic bacteria in freshwater rivers influenced by anthropogenic activities allows for the assessment of the impact these factors have on water quality. Thus, the purpose of this study was to identify the diversity of pathogenic bacteria and virulence genes in the Uraim River in the northern region of Brazil. For this purpose, surface water was collected from five points with varying degrees of anthropogenic impact along the Uraim River. In situ measurements of physicochemical components were conducted, and metagenomic analysis was used for the identification of pathogenic bacteria and virulence genes. Regarding the physicochemical parameters, variability was observed among the different analysis points, as well as diversity among bacteria and virulence genes. Notably, enterobacteria and the ESKAPE group were highlighted among the bacteria, with significant negative associations found between dissolved oxygen and the diversity of virulence genes and between deforestation and population density with the presence of ESKAPE group bacteria. Citas OpenAlex: 3 | Cuartil SJR: Q1 Virulence Pathogenic bacteria Metagenomics Bacteria Biology Water quality Population Urbanization Amazon rainforest Ecology Frontiers in Environmental Science 2296-665X vol. 12, (2024) doi:10.3389/fenvs.2024.1404230 https://doi.org/10.3389/fenvs.2024.1404230 Texto completo vía DOI Versión publicada https://public-pages-files-2025.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2024.1404230/pdf Acceso abierto ART 00000nab a2200000 4500 10.3389_fgene.2018.00644 OREX-CRIS 261111s2018 sp o 000 0 eng d m o h cr ||||||||||| 1664-8021 10.3389/fgene.2018.00644 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 de Sousa, Ailton Lopes, autor aut (orcid)0000-0002-7608-252X Maués, Dener, autor aut Fonseca Lobato, Amália Raiana, autor aut (orcid)0000-0002-5437-2593 Pinheiro, Kenny C., autor aut Araújo, Fabrício Almeida, autor aut (orcid)0000-0001-8134-5964 Pantoja, Yan, autor aut Silva, Artur, autor aut (orcid)0000-0002-4082-1132 De Morais, Jefferson Magalhaes, autor aut (orcid)0000-0002-8566-3238 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes Edian F. Franco; Ailton Lopes de Sousa; Dener Maués; Amália Raiana Fonseca Lobato; Kenny C. Pinheiro [et al.] s.n. 2018 páginas 644-644 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Genetics 1664-8021 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering. It uses G+C content variation evaluation and tRNA prediction sites as evidence to reinforce the presence of prophages in indeterminate regions. Also, it performs the functional characterization of the prophages regions through data integration of biological databases. The performance of PhageWeb was compared to other available tools (PHASTER, Prophinder, and PhiSpy) using Sensitivity (Sn) and Positive Predictive Value (PPV) tests. As a reference for the tests, more than 80 manually annotated genomes were used. In the PhageWeb analysis, the Sn index was 86.1% and the PPV was approximately 87%, while the second best tool presented Sn and PPV values of 83.3 and 86.5%, respectively. These numbers allowed us to observe a greater precision in the regions identified by PhageWeb while compared to other prediction tools submitted to the same tests. Additionally, PhageWeb was much faster than the other computational alternatives, decreasing the processing time to approximately one-ninth of the time required by the second best software. PhageWeb is freely available at http://computationalbiology.ufpa.br/phageweb. Citas OpenAlex: 34 | Cuartil SJR: Q1 Prophage Computer science Identification (biology) Genome Computational biology Interface (matter) Data mining Software Cluster analysis Biology Frontiers in Genetics 1664-8021 vol. 9, p. 644-644, (2018) doi:10.3389/fgene.2018.00644 https://doi.org/10.3389/fgene.2018.00644 Texto completo vía DOI Versión publicada https://www.frontiersin.org/articles/10.3389/fgene.2018.00644/pdf Acceso abierto ART 00000nab a2200000 4500 10.3389_fmicb.2020.519169 OREX-CRIS 261111s2021 sp o 000 0 eng d m o h cr ||||||||||| 1664-302X 10.3389/fmicb.2020.519169 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 De Francisco, Luis Enrique Rodríguez, autor aut (orcid)0000-0001-9146-8634 Calderón, Víctor V., autor aut (orcid)0000-0002-8537-1358 Bonnelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Rosario, Camila Del, autor aut (orcid)0000-0002-9339-7064 Duarte, Albert, autor aut Baraúna, Rafael Azevedo, autor aut (orcid)0000-0002-7837-7380 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Perdomo, Omar Paíno, autor aut (orcid)0000-0002-9937-0153 Distribution of Beta-Lactamase Producing Gram-Negative Bacterial Isolates in Isabela River of Santo Domingo, Dominican Republic Edian F. Franco; Luis Enrique Rodríguez De Francisco; Víctor V. Calderón; Roberto Bonnelly; Camila Del Rosario [et al.] s.n. 2021 páginas 519169-519169 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Microbiology 1664-302X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Bacteria carrying antibiotic resistance genes (ARGs) are naturally prevalent in lotic ecosystems such as rivers. Their ability to spread in anthropogenic waters could lead to the emergence of multidrug-resistant bacteria of clinical importance. For this study, three regions of the Isabela river, an important urban river in the city of Santo Domingo, were evaluated for the presence of ARGs. The Isabela river is surrounded by communities that do not have access to proper sewage systems; furthermore, water from this river is consumed daily for many activities, including recreation and sanitation. To assess the state of antibiotic resistance dissemination in the Isabela river, nine samples were collected from these three bluedistinct sites in June 2019 and isolates obtained from these sites were selected based on resistance to beta-lactams. Physico-chemical and microbiological parameters were in accordance with the Dominican legislation. Matrix-assisted laser desorption ionization-time of flight mass spectrometry analyses of ribosomal protein composition revealed a total of 8 different genera. Most common genera were as follows: Acinetobacter (44.6%) and Escherichia (18%). Twenty clinically important bacterial isolates were identified from urban regions of the river; these belonged to genera Escherichia (n = 9), Acinetobacter (n = 8), Enterobacter (n = 2), and Klebsiella (n = 1). Clinically important multi-resistant isolates were not obtained from rural areas. Fifteen isolates were selected for genome sequencing and analysis. Most isolates were resistant to at least three different families of antibiotics. Among beta-lactamase genes encountered, we found the presence of blaTEM, blaOXA, blaSHV, and blaKPC through both deep sequencing and PCR amplification. Bacteria found from genus Klebsiella and Enterobacter demonstrated ample repertoire of antibiotic resistance genes, including resistance from a family of last resort antibiotics reserved for dire infections: carbapenem Citas OpenAlex: 11 | Cuartil SJR: Q1 Enterobacter Acinetobacter Antibiotic resistance Biology Microbiology Veterinary medicine Escherichia coli Antibiotics Medicine Gene Frontiers in Microbiology 1664-302X vol. 11, p. 519169-519169, (2021) doi:10.3389/fmicb.2020.519169 https://doi.org/10.3389/fmicb.2020.519169 Texto completo vía DOI Versión publicada https://www.frontiersin.org/articles/10.3389/fmicb.2020.519169/pdf Acceso abierto ART 00000nab a2200000 4500 10.3389_fmicb.2026.1780969 OREX-CRIS 261111s2026 sp o 000 0 spa d m o h cr ||||||||||| 1664-302X 10.3389/fmicb.2026.1780969 doi OREX-CRIS spa rda OREX-CRIS spa Chevalier-Alba, María F., autor aut Hoepelman, Dionis I., autor aut Pineda-Cabrera, Larianna, autor aut Acosta-Rivera, Lázaro M., autor aut Blanco, Seudimar, autor aut Bonelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Rosario, Holly, autor aut Gonzalez, María, autor aut Guerrero, Dairelys, autor aut Ortiz, Irene, autor aut (orcid)0000-0002-6584-3186 Ovando, Argeny, autor aut (orcid)0000-0002-9197-0533 Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X de Francisco, Luis Enrique Rodríguez, autor aut Ramos, Rommel, autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis O., autor aut (orcid)0000-0001-8854-5512 Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Environmental resistome of culturable gram-negative bacilli from the Yaque del Norte River: baseline genomic evidence for one health surveillance María F. Chevalier-Alba; Dionis I. Hoepelman; Larianna Pineda-Cabrera; Lázaro M. Acosta-Rivera; Seudimar Blanco [et al.] s.n. 2026 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Microbiology 1664-302X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Citas OpenAlex: 0 | Cuartil SJR: Q1 antimicrobial resistance environmental resistome Gram-negative bacilli river water One Health antimicrobial resistance genes plasmid replicons IncFIB plasmid IncY plasmid Pseudomonas aeruginosa Frontiers in Microbiology 1664-302X (2026) doi:10.3389/fmicb.2026.1780969 https://doi.org/10.3389/fmicb.2026.1780969 Texto completo vía DOI Versión publicada https://public-pages-files-2025.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2026.1780969/pdf Acceso abierto ART 00000nab a2200000 4500 10.3390_applmicrobiol3030071 OREX-CRIS 261111s2023 sp o 000 0 eng d m o h cr ||||||||||| 2673-8007 10.3390/applmicrobiol3030071 doi OREX-CRIS spa rda OREX-CRIS eng Rodríguez-Rodríguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Bonnelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Calderon, Victor V., autor aut (orcid)0000-0002-8537-1358 Ortiz, Irene, autor aut (orcid)0000-0002-6584-3186 Ovando, Argenys, autor aut (orcid)0000-0002-9197-0533 Pinales, Confesora, autor aut (orcid)0000-0003-3387-556X Lara, Willy, autor aut Mateo-Perez, Santo Emilio, autor aut Cardenas-Alegría, Oscar Victor, autor aut (orcid)0000-0002-1914-478X Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Comparison of Two Bacterial Characterization Techniques for the Genomic Analysis of River Microbiomes Yaset Rodríguez-Rodríguez; Edian Franklin Franco De Los Santos; Roberto Bonnelly; Victor V. Calderon; Irene Ortiz [et al.] s.n. 2023 páginas 1037-1045 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Applied Microbiology 2673-8007 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD This study compares the feasibility of matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry with whole genome sequencing (WGS) for identifying bacteria in river surface water samples. We collected samples from four rivers in the Dominican Republic and used both techniques to characterize bacterial profiles. MALDI-TOF demonstrated high precision, with 86.2% similarity to WGS results, except for a few discordant cases due to database limitations. MALDI-TOF provided cost-effective and rapid identification, making it a promising alternative to WGS in resource-constrained regions. In particular, good effectiveness of MALDI-TOF in identifying bacteria with a high probability of being resistant to antibiotics was observed, which allows this technology to be used in the monitoring processes of this type of microorganism for their rapid, accurate, and low-cost identification. We found this technology to be advantageous for environmental bacterial profiling, with potential applications in understanding waterborne pathogenic bacteria. Our findings underline the relevance of MALDI-TOF in microbiology and its potential to expand its capabilities in bacterial identification and protein profiling. Citas OpenAlex: 4 | Cuartil SJR: Q2 MALDI-TOF mass spectrometry whole genome sequencing bacterial identification antibiotic resistance resource-constrained environments Applied Microbiology 2673-8007 vol. 3, n. 3, p. 1037-1045, (2023) doi:10.3390/applmicrobiol3030071 https://doi.org/10.3390/applmicrobiol3030071 Texto completo vía DOI Versión publicada https://www.mdpi.com/2673-8007/3/3/71/pdf?version=1693903418 Acceso abierto ART 00000nab a2200000 4500 10.3390_applmicrobiol5010026 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 2673-8007 10.3390/applmicrobiol5010026 doi OREX-CRIS spa rda OREX-CRIS eng Los Santos, Edian F. Franco De, autor aut (orcid)0000-0001-9715-9437 Muñoz-Martinez, Tania Isabel, autor aut (orcid)0000-0003-1550-3842 Rodríguez-Hernández, Bianca, autor aut (orcid)0009-0002-4407-0345 Rodríguez-Montaño, Milagros, autor aut (orcid)0009-0007-1431-0105 Alfau, Jessica, autor aut Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X Fernandez, Yumeris, autor aut (orcid)0000-0001-8393-7103 Ramos, Rommel T., autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Unlocking the Hidden Microbiome of Food: The Role of Metagenomics in Analyzing Fresh Produce, Poultry, and Meat Edian F. Franco De Los Santos; Tania Isabel Muñoz-Martinez; Bianca Rodríguez-Hernández; Milagros Rodríguez-Montaño; Jessica Alfau [et al.] s.n. 2025 páginas 26-26 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Applied Microbiology 2673-8007 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD The increasing complexity of food safety concerns, driven by the rising risks of contamination from pathogens, chemical hazards, and environmental influences, has highlighted the need for more effective detection and prevention strategies. Metagenomics, a powerful molecular tool, is transforming the food industry by providing a comprehensive understanding of the microbial communities in fresh produce, poultry, and meat. Advances in microbial detection techniques, such as shotgun sequencing, metabarcoding, and long-read sequencing technologies, have led to faster and more accurate pathogen detection, reducing the risk of outbreaks and ensuring public health protection. Despite its promise, several challenges remain in implementing metagenomics on a broader scale, including the high cost of sequencing technologies, the complexity of analyzing large datasets, and the lack of standardized procedures across platforms. These limitations hinder its adoption, particularly for smaller operations or in regions with fewer resources. This review examines the applications of metagenomics in food safety, focusing on its impact on meat, poultry, and fresh produce, while discussing the obstacles to its widespread use and potential solutions to overcome these barriers. Citas OpenAlex: 17 | Cuartil SJR: Q2 metagenomics food microbiome food safety fresh produce poultry meat pathogen detection microbial contamination shotgun sequencing metabarcoding Applied Microbiology 2673-8007 vol. 5, n. 1, p. 26-26, (2025) doi:10.3390/applmicrobiol5010026 https://doi.org/10.3390/applmicrobiol5010026 Texto completo vía DOI Versión publicada https://doi.org/10.3390/applmicrobiol5010026 Acceso abierto ART 00000nab a2200000 4500 10.3390_cancers13092013 OREX-CRIS 261111s2021 sp o 000 0 eng d m o h cr ||||||||||| 2072-6694 10.3390/cancers13092013 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rana, Pratip, autor aut (orcid)0000-0001-9199-2479 Pereira Cruz, Aline Maria, autor aut (orcid)0000-0001-8812-2923 Calderón, Víctor V., autor aut (orcid)0000-0002-8537-1358 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 Performance comparison of deep learning autoencoders for cancer subtype detection using multi-omics data Edian F. Franco; Pratip Rana; Aline Maria Pereira Cruz; Víctor V. Calderón; Vasco Azevedo [et al.] s.n. 2021 páginas 2013-2013 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Cancers 2072-6694 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD A heterogeneous disease such as cancer is activated through multiple pathways and different perturbations. Depending upon the activated pathway(s), the survival of the patients varies significantly and shows different efficacy to various drugs. Therefore, cancer subtype detection using genomics level data is a significant research problem. Subtype detection is often a complex problem, and in most cases, needs multi-omics data fusion to achieve accurate subtyping. Different data fusion and subtyping approaches have been proposed over the years, such as kernel-based fusion, matrix factorization, and deep learning autoencoders. In this paper, we compared the performance of different deep learning autoencoders for cancer subtype detection. We performed cancer subtype detection on four different cancer types from The Cancer Genome Atlas (TCGA) datasets using four autoencoder implementations. We also predicted the optimal number of subtypes in a cancer type using the silhouette score and found that the detected subtypes exhibit significant differences in survival profiles. Furthermore, we compared the effect of feature selection and similarity measures for subtype detection. For further evaluation, we used the Glioblastoma multiforme (GBM) dataset and identified the differentially expressed genes in each of the subtypes. The results obtained are consistent with other genomic studies and can be corroborated with the involved pathways and biological functions. Thus, it shows that the results from the autoencoders, obtained through the interaction of different datatypes of cancer, can be used for the prediction and characterization of patient subgroups and survival profiles. Citas OpenAlex: 95 | Cuartil SJR: Q1 Subtyping Autoencoder Genomics Computational biology Feature selection Cancer Artificial intelligence Deep learning Computer science Bioinformatics Cancers 2072-6694 vol. 13, n. 9, p. 2013-2013, (2021) doi:10.3390/cancers13092013 https://doi.org/10.3390/cancers13092013 Texto completo vía DOI Versión publicada https://www.mdpi.com/2072-6694/13/9/2013/pdf?version=1619073745 Acceso abierto ART 00000nab a2200000 4500 10.3390_genes11070794 OREX-CRIS 261111s2020 sp o 000 0 eng d m o h cr ||||||||||| 2073-4425 10.3390/genes11070794 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rana, Pratip, autor aut (orcid)0000-0001-9199-2479 Q. Cavalcante, Ana Lídia, autor aut (orcid)0000-0001-7750-1418 Silva, Artur, autor aut (orcid)0000-0002-4082-1132 Pinto Gomide, Anne Cybelle, autor aut (orcid)0000-0003-3948-5335 Carneiro, Adriana Ribeiro, autor aut (orcid)0000-0003-1522-9871 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Co-Expression Networks for Causal Gene Identification Based on RNA-Seq Data of Corynebacterium pseudotuberculosis Edian F. Franco; Pratip Rana; Ana Lídia Q. Cavalcante; Artur Silva; Anne Cybelle Pinto Gomide [et al.] s.n. 2020 páginas 794-794 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Genes 2073-4425 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Corynebacterium pseudotuberculosis is a Gram-positive bacterium that causes caseous lymphadenitis, a disease that predominantly affects sheep, goat, cattle, buffalo, and horses, but has also been recognized in other animals. This bacterium generates a severe economic impact on countries producing meat. Gene expression studies using RNA-Seq are one of the most commonly used techniques to perform transcriptional experiments. Computational analysis of such data through reverse-engineering algorithms leads to a better understanding of the genome-wide complexity of gene interactomes, enabling the identification of genes having the most significant functions inferred by the activated stress response pathways. In this study, we identified the influential or causal genes from four RNA-Seq datasets from different stress conditions (high iron, low iron, acid, osmosis, and PH) in C. pseudotuberculosis, using a consensus-based network inference algorithm called miRsigand next identified the causal genes in the network using the miRinfluence tool, which is based on the influence diffusion model. We found that over 50% of the genes identified as influential had some essential cellular functions in the genomes. In the strains analyzed, most of the causal genes had crucial roles or participated in processes associated with the response to extracellular stresses, pathogenicity, membrane components, and essential genes. This research brings new insight into the understanding of virulence and infection by C. pseudotuberculosis. Citas OpenAlex: 5 | Cuartil SJR: Q2 Corynebacterium pseudotuberculosis Caseous lymphadenitis Biology Gene RNA-Seq Computational biology Genome Identification (biology) Yersinia pseudotuberculosis Genetics Genes 2073-4425 vol. 11, n. 7, p. 794-794, (2020) doi:10.3390/genes11070794 https://doi.org/10.3390/genes11070794 Texto completo vía DOI Versión publicada https://doi.org/10.3390/genes11070794 Acceso abierto ART 00000nab a2200000 4500 10.3390_ijms20153730 OREX-CRIS 261111s2019 sp o 000 0 eng d m o h cr ||||||||||| 1422-0067 1661-6596 10.3390/ijms20153730 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Rana, Pratip, autor aut (orcid)0000-0001-9199-2479 Rao, Yug, autor aut Syed, Khajamoinuddin, autor aut (orcid)0000-0002-5433-2751 Barh, Debmalya, autor aut (orcid)0000-0002-2557-7768 Azevedo, Vasco, autor aut (orcid)0000-0002-4775-2280 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Ghosh, Preetam, autor aut (orcid)0000-0003-3880-5886 Evaluation of the Common Molecular Basis in Alzheimer’s and Parkinson’s Diseases Edian F. Franco; Pratip Rana; Yug Rao; Khajamoinuddin Syed; Debmalya Barh [et al.] s.n. 2019 páginas 3730-3730 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier International Journal of Molecular Sciences 1422-0067 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the most common neurodegenerative disorders related to aging. Though several risk factors are shared between these two diseases, the exact relationship between them is still unknown. In this paper, we analyzed how these two diseases relate to each other from the genomic, epigenomic, and transcriptomic viewpoints. Using an extensive literature mining, we first accumulated the list of genes from major genome-wide association (GWAS) studies. Based on these GWAS studies, we observed that only one gene (HLA-DRB5) was shared between AD and PD. A subsequent literature search identified a few other genes involved in these two diseases, among which SIRT1 seemed to be the most prominent one. While we listed all the miRNAs that have been previously reported for AD and PD separately, we found only 15 different miRNAs that were reported in both diseases. In order to get better insights, we predicted the gene co-expression network for both AD and PD using network analysis algorithms applied to two GEO datasets. The network analysis revealed six clusters of genes related to AD and four clusters of genes related to PD; however, there was very low functional similarity between these clusters, pointing to insignificant similarity between AD and PD even at the level of affected biological processes. Finally, we postulated the putative epigenetic regulator modules that are common to AD and PD. Citas OpenAlex: 22 | Cuartil SJR: Q1 Parkinson's disease Alzheimer's disease Medicine Neuroscience Disease Psychology Pathology International Journal of Molecular Sciences 1422-0067 vol. 20, n. 15, p. 3730-3730, (2019) doi:10.3390/ijms20153730 https://doi.org/10.3390/ijms20153730 Texto completo vía DOI Versión publicada https://www.mdpi.com/1422-0067/20/15/3730/pdf?version=1564558214 Acceso abierto ART 00000nab a2200000 4500 10.3390_microbiolres16040078 OREX-CRIS 261111s2025 sp o 000 0 eng d m o h cr ||||||||||| 2036-7473 2036-7481 10.3390/microbiolres16040078 doi OREX-CRIS spa rda OREX-CRIS eng Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Severino, Nicole, autor aut Reyes, Claudia, autor aut (orcid)0000-0002-5312-132X Fernandez, Yumeris, autor aut Carvalho Azevedo, Vasco Ariston de, autor aut (orcid)0000-0002-4775-2280 De Francisco, Luis Enrique Rodríguez, autor aut Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 Maroto-Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Bacterial Foodborne Diseases in Central America and the Caribbean: A Systematic Review Edian Franklin Franco De Los Santos; Nicole Severino; Claudia Reyes; Yumeris Fernandez; Vasco Ariston de Carvalho Azevedo [et al.] s.n. 2025 páginas 78-78 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Microbiology Research 2036-7473 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Foodborne diseases (FBDs) represent a significant public health concern, particularly in regions like Central America and the Caribbean (CAC), where surveillance gaps due to a lack of resources, knowledge, and technical abilities hinder control over outbreaks. This review investigates the bacterial pathogens responsible for FBDs, their prevalence, management challenges, and prevention strategies. This systematic review followed PRISMA guidelines, focusing on bacterial FBDs in CAC from 2000 to 2024. PubMed and Google Scholar were used as primary databases, supported by other sources to identify relevant studies. Inclusion criteria encompassed studies focusing on bacterial pathogens, prevalence, risk factors, and surveillance practices. Out of the 509 studies initially identified, 35 met the inclusion criteria. The most prevalent pathogens were Salmonella spp., Escherichia coli, Campylobacter spp., and Aliarcobacter spp., with contamination often associated with poultry, eggs, and vegetables. Key challenges included inadequate surveillance systems, limited resources, and inconsistent reporting practices. A more significant investment in pathogen monitoring, documentation, and education, along with technologies like whole-genome sequencing (WGS), is crucial. Institutional and governmental funding is vital to improve surveillance and strengthen regional risk analysis. Citas OpenAlex: 14 | Cuartil SJR: Q3 foodborne pathogens Salmonella Escherichia coli Campylobacter poultry contamination egg contamination vegetable contamination foodborne disease surveillance risk factors whole genome sequencing Microbiology Research 2036-7473 vol. 16, n. 4, p. 78-78, (2025) doi:10.3390/microbiolres16040078 https://doi.org/10.3390/microbiolres16040078 Texto completo vía DOI Versión publicada https://www.mdpi.com/2036-7481/16/4/78/pdf?version=1743503637 Acceso abierto ART 00000nab a2200000 4500 10.3390_su14063149 OREX-CRIS 261111s2022 sp o 000 0 eng d m o h cr ||||||||||| 2071-1050 10.3390/su14063149 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Iglesias, Wilfredo Padrón, autor aut (orcid)0000-0003-3773-7113 Teruel, Karina Pérez, autor aut (orcid)0000-0002-1526-9913 Household Solid Waste Management in the Dominican Republic: Case of the Municipality of Puñal, Santiago Edian F. Franco; Wilfredo Padrón Iglesias; Karina Pérez Teruel s.n. 2022 páginas 3149-3149 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Sustainability Switzerland 2071-1050 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD One of the biggest problems that the Dominican Republic has had in recent decades is the efficient management of solid domestic waste. This problem has worsened in recent years due to the decrease in available areas for the construction of sanitary landfills, the lack of recycling culture in the population, the deficiency in waste collection, and the scarce legal controls aimed at preserving water, air and soil among other factors. The objective of this study is to explore the management of solid waste by the population and the municipality of Puñal, province of Santiago, to evaluate and analyze the situation and generation of solid waste, municipal solid waste management services, and the attitudes of the population regarding recycling projects and waste management. A total of 275 households from 29 localities in the municipality of Puñal were surveyed, which allowed for a significant population sample. According to the results, the most significant type of waste produced by families is organic waste, followed by plastic waste and paper. Of the total organic waste produced in the municipality, 53% of solids wastes are handled through the municipal waste collection system, while 47% is used as plant fertilizers or animal feed. On the other hand, most households receive the municipal waste collection service and pay for this service, through which the municipal government collects, processes, and deposits the waste in different landfills. However, a more efficient waste collection system and the development of programs and projects that allow households to manage the solid waste efficiently they produce would be necessary. Citas OpenAlex: 5 | Cuartil SJR: Q1 Municipal solid waste Waste management Waste collection Population Business Government (linguistics) Service (business) Environmental planning Environmental science Engineering Sustainability Switzerland 2071-1050 vol. 14, n. 6, p. 3149-3149, (2022) doi:10.3390/su14063149 https://doi.org/10.3390/su14063149 Texto completo vía DOI Versión publicada https://www.mdpi.com/2071-1050/14/6/3149/pdf?version=1646809730 Acceso abierto ART 00000nab a2200000 4500 10.3390_su15065109 OREX-CRIS 261111s2023 sp o 000 0 eng d m o h cr ||||||||||| 2071-1050 10.3390/su15065109 doi OREX-CRIS spa rda OREX-CRIS eng Rodríguez-Rodríguez, Yaset, autor aut (orcid)0000-0003-3937-2031 Los Santos, Edian Franklin Franco De, autor aut (orcid)0000-0001-9715-9437 Bonnelly, Roberto, autor aut (orcid)0000-0003-3494-7369 Queiroz Cavalcante, Ana Lidia, autor aut (orcid)0000-0001-7750-1418 Calderon, Victor V., autor aut (orcid)0000-0002-8537-1358 Baraúna, Rafael Azevedo, autor aut (orcid)0000-0002-7837-7380 Jucá Ramos, Rommel Thiago, autor aut (orcid)0000-0002-8032-1474 De Francisco, Luis Enrique Rodríguez, autor aut (orcid)0000-0001-9146-8634 Maroto Martín, Luis Orlando, autor aut (orcid)0000-0001-8854-5512 Perdomo, Omar Paino, autor aut (orcid)0000-0002-9937-0153 Beta-Lactam Susceptibility Profiles of Bacteria Isolated from the Ozama River in Santo Domingo, Dominican Republic Yaset Rodríguez-Rodríguez; Edian Franklin Franco De Los Santos; Roberto Bonnelly; Ana Lidia Queiroz Cavalcante; Victor V. Calderon [et al.] s.n. 2023 páginas 5109-5109 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Sustainability Switzerland 2071-1050 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD The spread and contamination of antimicrobial-resistant bacteria in ambient waters is an emerging concern in urban, rural, medical, and industrial settings. A large amount of domestic, hospital, and industrial wastewater discharged directly into the rivers through the different channels can turn them into extensive reservoirs of antibiotic-resistant bacteria. In the present study, surface water samples from three collection sites were analyzed, according to different levels of anthropogenic impacts, along the Ozama River, one of the most important rivers in the Dominican metropolitan area, a source of water and food for human consumption. Seventy-six bacterial isolates were selected based on resistance to beta-lactams, using culture media previously enriched with cefotaxime and imipenem. Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF) subsequently identified them. The isolates covered 12 genera of bacteria; more than 30% were clinically relevant, and 43% had phenotypes classified as multidrug resistance. A total of 10 (44%) presented resistance. However, only seven presented resistance to 3 or more of the 14 groups of antibiotics, considered to be a multiresistant phenotype, which was sequenced using the high-throughput sequencing technique or New Generation (NGS). This study is part of the initiative to understand the profiles of the dangers of multidrug resistance in the metropolitan and rural areas of the Dominican Republic and its possible implications for human health. Citas OpenAlex: 4 | Cuartil SJR: Q1 beta-lactam resistance antimicrobial resistance multidrug resistance antibiotic-resistant bacteria surface water contamination wastewater discharge cefotaxime imipenem MALDI-TOF identification metagenomic sequencing Sustainability Switzerland 2071-1050 vol. 15, n. 6, p. 5109-5109, (2023) doi:10.3390/su15065109 https://doi.org/10.3390/su15065109 Texto completo vía DOI Versión publicada https://www.mdpi.com/2071-1050/15/6/5109/pdf?version=1678785968 Acceso abierto ART 00000naa a2200000 4500 10.48550_arxiv.2409.14181 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 2331-8422 10.48550/arxiv.2409.14181 doi OREX-CRIS spa rda OREX-CRIS eng Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 de Carvalho, André C. P. L. F., autor aut (orcid)0000-0002-4765-6459 Bonidia, Robson Parmezan, autor aut (orcid)0000-0003-4975-7867 Kong, Jude Dzevela, autor aut (orcid)0000-0002-7557-5672 Dauhajre, Mariana, autor aut (orcid)0000-0002-0141-0920 Struchiner, Claudio José, autor aut (orcid)0000-0003-2114-847X Goedert, Guilherme Tegoni, autor aut (orcid)0000-0002-4759-1296 Stadler, Peter Florian, autor aut (orcid)0000-0002-5016-5191 T. Walter, Maria Emília M., autor aut (orcid)0000-0001-6822-931X Sanches, Danilo Sipoli, autor aut (orcid)0000-0002-8972-5221 Day, Troy, autor aut (orcid)0000-0002-1052-6140 Castro, Márcia C., autor aut (orcid)0000-0003-4606-2795 Edmunds, John, autor aut Colome Hidalgo, Manuel Emilio, autor aut (orcid)0000-0002-4562-6491 Herrera Morban, Demian Arturo, autor aut (orcid)0000-0002-6678-6064 Ugarte‐Gil, César, autor aut (orcid)0000-0002-2833-9087 Espinoza‐Lopez, Patricia, autor aut (orcid)0009-0007-3949-1790 Carrasco‐Escobar, Gabriel, autor aut (orcid)0000-0002-6945-0419 da Rocha, Ulisses Nunes, autor aut (orcid)0000-0001-6972-6692 Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries Edian F. Franco; André C. P. L. F. de Carvalho; Robson Parmezan Bonidia; Jude Dzevela Kong; Mariana Dauhajre [et al.] s.n. 2024 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Arxiv 2331-8422 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Infectious diseases, transmitted directly or indirectly, are among the leading causes of epidemics and pandemics. Consequently, several open challenges exist in predicting epidemic outbreaks, detecting variants, tracing contacts, discovering new drugs, and fighting misinformation. Artificial Intelligence (AI) can provide tools to deal with these scenarios, demonstrating promising results in the fight against the COVID-19 pandemic. AI is becoming increasingly integrated into various aspects of society. However, ensuring that AI benefits are distributed equitably and that they are used responsibly is crucial. Multiple countries are creating regulations to address these concerns, but the borderless nature of AI requires global cooperation to define regulatory and guideline consensus. Considering this, The Global South AI for Pandemic & Epidemic Preparedness & Response Network (AI4PEP) has developed an initiative comprising 16 projects across 16 countries in the Global South, seeking to strengthen equitable and responsive public health systems that leverage Southern-led responsible AI solutions to improve prevention, preparedness, and response to emerging and re-emerging infectious disease outbreaks. This opinion introduces our branches in Latin American and Caribbean (LAC) countries and discusses AI governance in LAC in the light of biotechnology. Our network in LAC has high potential to help fight infectious diseases, particularly in low- and middle-income countries, generating opportunities for the widespread use of AI techniques to improve the health and well-being of their communities. Citas OpenAlex: 2 Preparedness Latin Americans Pandemic Corporate governance Political science Caribbean region Development economics Economic growth Coronavirus disease 2019 (COVID-19) Business Arxiv 2331-8422 (2024) doi:10.48550/arxiv.2409.14181 https://doi.org/10.48550/arxiv.2409.14181 Texto completo vía DOI Versión publicada https://arxiv.org/pdf/2409.14181 Acceso abierto ART 00000nab a2200000 4500 10.62430_rtb20262412138 OREX-CRIS 261111s2026 sp o 000 0 spa d m o h cr ||||||||||| 1816-0719 1994-9073 10.62430/rtb20262412138 doi OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F., autor aut (orcid)0000-0001-9715-9437 Colome Hidalgo, Manuel Emilio, autor aut (orcid)0000-0002-4562-6491 Serrano, Mabel, autor aut (orcid)0009-0002-3908-4195 Marte, Cheryl, autor aut (orcid)0009-0001-2335-443X Gomez, Nasla, autor aut (orcid)0009-0003-2227-562X Alarcón‐Elbal, Pedro María, autor aut (orcid)0000-0001-5319-4257 Degaudenzi, Alejandro Vallejo, autor aut (orcid)0000-0003-2057-2332 Análisis computacional de isoformas de doublesex en Anopheles gambiae Computational analysis of doublesex isoforms in Anopheles gambiae Edian F. Franco; Manuel Emilio Colome Hidalgo; Mabel Serrano; Cheryl Marte; Nasla Gomez [et al.] s.n. 2026 páginas 165-171 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier The Biologist 1816-0719 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — HYBRID El gen doublesex (dsx) participa en la determinación sexual de Anopheles gambiae sensu stricto y constituye una posible diana para control vectorial. El objetivo fue caracterizar computacionalmente sus isoformas sexo-específicas. Se realizó un análisis in silico de las isoformas RA y RB con datos de VectorBase, evaluando arquitectura génica, longitud del CDS y productos proteicos predichos. RA y RB mostraron diferencias en organización estructural y longitud proteica, conservando el marco de lectura. Las variantes teóricas derivadas de RB permitieron explorar el efecto de modificaciones terminales sin introducir cambios de fase. La diversidad funcional de dsx se asocia al splicing alternativo y refuerza su interés como diana molecular para futuras investigaciones en control genético de vectores. Citas OpenAlex: 0 Anopheles gambiae Doublesex RNA splicing In silico The Biologist 1816-0719 vol. 24, n. 1, p. 165-171, (2026) doi:10.62430/rtb20262412138 https://doi.org/10.62430/rtb20262412138 Texto completo vía DOI Versión publicada https://revistas.unfv.edu.pe/rtb/article/download/2138/3517 Acceso abierto ART 00000nab a2200000 4500 cris-0a929b16 OREX-CRIS 261111s2021 sp 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Distribution of Beta-Lactamase Producing Gram-Negative Bacterial Isolates in Isabela River of Santo Domingo, Dominican Republic s.n. 2021 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Frontiers in Microbiology Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Frontiers in Microbiology (2021) ART 00000naa a2200000 4500 cris-30846d69 OREX-CRIS 261111s2021 sp o 000 0 spa d m o h cr ||||||||||| (impreso): 2636-2317 (en línea): 2636-233 OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F, autor aut (orcid)0000-0001-9715-9437 Jucá Ramos, Rommel T, autor aut Thomaz Maia, Maria H, autor aut La anosmia y su interacción en las infecciones causadas por el SARS-CoV2 una revisión Franco, Edian F; Jucá Ramos, Rommel T; Thomaz Maia, Maria H s.n. 2021 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ambiente y clima (impreso): 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso abierto — GREEN La anosmia es uno de los síntomas frecuentes identificados como parte del cuadro clínico de la infección por SARS-CoV2, sin embargo, los mecanismos por los cuales ocurre la disfunción olfatoria no están completamente esclarecidos. Previamente los coronavirus fueron identificados como una familia de virus que pueden causar anosmia, pero en el COVID-19, a diferencia de la familia de los rinovirus, esta no se relaciona con un proceso inflamatorio de la mucosa nasal asociado a obstrucción nasal o rinorrea, lo cual sugiere que la anosmia podría deberse a disturbios en la conducción nerviosa del estímulo olfatorio. La anosmia de los pacientes con COVID-19 recuerda en algunos aspectos al síndrome de Kallman, el cual también cursa con anosmia, su etiología es genética y se debe a mutaciones en el gen ANOS 1 que codifica la molécula de adhesión celular anosmia. En esta revisión se suministrará una recopilación de evidencias fisiopatológicas e interacciones moleculares mediante la cual la proteína anosmia podría modificar el curso de la infección por SARS-CoV2, para ello, se realizó una búsqueda computarizada de literatura para desvendar las posibles relaciones que existen en entre la anosmia y las infecciones causadas por el SARS-CoV2. Anosmia Ageusia COVID-19 Ciencia, ambiente y clima (impreso): 2636-2317 (2021) https://revistas.intec.edu.do/index.php/cienacli/article/view/2370 Acceso abierto ART 00000naa a2200000 4500 cris-4be64515 OREX-CRIS 261111s2020 sp o 000 0 spa d m o h cr ||||||||||| (impreso): 2636-2317 (en línea): 2636-233 OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F, autor aut (orcid)0000-0001-9715-9437 Bello, Lizaira, autor aut Vallejo Degaudenzi, Alejandro, autor aut Gómez, Aris Mendis, autor aut Echavarría, Enmanuel, autor aut Determinación de contaminantes orgánicos persistentes en leche de vaca de producción nacional por medio de la técnica de cromatografía de gases acoplada a espectrometría de masas (GC/MS) Franco, Edian F; Bello, Lizaira; Vallejo Degaudenzi, Alejandro; Gómez, Aris Mendis; Echavarría, Enmanuel s.n. 2020 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ambiente y clima (impreso): 2636-2317 Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso abierto — GREEN Los contaminantes orgánicos persistentes (COP) son sustancias químicas orgánicas capaces de persistir en el ambiente, transportase a larga distancia, bioacumularse y biomagnificarse en los ecosistemas. Los efectos nocivos de estos compuestos sobre el medio ambiente y la salud de los seres vivos son preocupantes. En particular, los seres humanos pueden entrar en contacto con los COP al consumir alimentos contaminados de origen animal con un alto contenido en grasa. En la República Dominicana estos compuestos se han utilizado y generado ampliamente. Sin embargo, se desconoce cuáles son los niveles de exposición de COP a los que está expuesta la población. Por tanto, este estudio tuvo como objetivo determinar la presencia de 34 COP en cinco principales marcas de leche de vaca de producción nacional. La preparación de las muestras se realizó mediante el método de extracción QuEChERS y la técnica analítica utilizada fue la GC/MS. Los resultados obtenidos indicaron que no hay presencia de los COP evaluados en ninguna de las muestras de leche de vaca, lo cual sugiere que su consumo no representa una amenaza para la salud de los consumidores. Además, este estudio aporta al conocimiento sobre la evaluación de los COP en la República Dominicana. Contaminantes Leche Química agrícola Ciencia, ambiente y clima (impreso): 2636-2317 (2020) https://revistas.intec.edu.do/index.php/cienacli/article/view/2013/2455 Acceso abierto ART 00000naa a2200000 4500 cris-6e1c520f OREX-CRIS 261111s2018 sp o 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa Franco, Edian F, autor aut (orcid)0000-0001-9715-9437 Ramos, Rommel J, autor aut Aprendizaje de máquina y aprendizaje profundo en biotecnología aplicaciones, impactos y desafíos Franco, Edian F; Ramos, Rommel J s.n. 2018 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ambiente y clima Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso abierto — GREEN La bioinformática es un área que ha modificado la forma en que se diseñan y se desarrollan los experimentos e investigaciones de las áreas biológicas. La biotecnología no ha quedado fuera de los alcances de la bioinformática, impactando directamente áreas como el descubrimiento y el desarrollo de fármacos, mejoramiento de cultivos, biorremediación, estudios de la diversidad ambiental, patología molecular, entre otras. Esto se debe, en gran medida, al desarrollo de las tecnologías de secuenciación de alto rendimiento o Next-generation sequencing (NGS), que han generado gran cantidad de datos que deben ser procesados y analizados para producir nuevos conocimientos y descubrimientos. Lo anterior ha promovido que dos áreas de la bioinformática y la ciencia de la computación, machine learning y deep learning, hayan sido utilizadas para el análisis de estos datos. El “aprendizaje de máquina” aplica técnicas que permiten que las computadoras aprendan, mientras que el “aprendizaje profundo” genera modelos de redes neuronales artificiales que intenta imitar el funcionamiento del cerebro humano, permitiéndoles aprender a partir de los datos y mejorar su aprendizaje a través de las experiencias. Estas dos áreas son esenciales para poder identificar, analizar, interpretar y obtener conocimientos de la gran cantidad de datos biológicos (Big biological data). En este trabajo hacemos una revisión de estas dos áreas: el aprendizaje de máquina y el aprendizaje profundo, orientado al impacto y sus aplicaciones en el área de biotecnología. Biotecnología Bioinformática Ciencia, ambiente y clima (2018) https://revistas.intec.edu.do/index.php/cienacli/article/view/1579/2173 Acceso abierto ART 00000naa a2200000 4500 cris-852f8869 OREX-CRIS 261111s2018 sp 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Uso de datos abiertos y técnicas de mineŕia de datos para la clasificación de estudiantes de instituciones privadas de educación superior de Belem-PA s.n. 2018 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Research in Computing Science Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Research in Computing Science (2018) ART