Author

Alberto M. R. Dávila

Instituto Oswaldo CruzORCID 0000-0002-6918-7673Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:metagenomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Rafael R. C. CuadratiD· 3 shared Bruno Gabriel Nascimento AndradeiD· 2 shared Tobias GorisiD· 2 shared Danny IonescuiD· 1 shared Felipe H. CoutinhoiD· 1 shared Haithem AfliiD· 1 shared Hans‐Peter GrossartiD· 1 shared Maria SorokinaiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Rafael R. C. CuadratORCID

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3 papers

Recent·Most cited

Putative mobilized colistin resistance genes in the human gut microbiome

Bruno Gabriel Nascimento Andrade, Tobias Goris, Haithem Afli, Felipe H. Coutinho, Alberto M. R. Dávila, Rafael R. C. Cuadrat

The paper identifies and characterizes putative colistin resistance genes (MCR) in the human gut microbiome using bioinformatics analysis of metagenome assembled genomes.

BMC Microbiology · Jul 22, 2021Peer-reviewedBioinformatics

Global ocean resistome revealed: exploring Antibiotic Resistance Genes (ARGs) abundance and distribution on TARA oceans samples through machine learning tools

Rafael R. C. Cuadrat, Maria Sorokina, Bruno Gabriel Nascimento Andrade, Tobias Goris, Alberto M. R. Dávila

This study uses machine learning to analyze metagenomic data from the TARA Oceans project to identify and characterize antibiotic resistance genes (ARGs) in marine environments, revealing their abundance, distribution, and potential for horizontal gene transfer.

GigaScience · May 1, 2020Peer-reviewedBioinformatics

Recovering genomic clusters of secondary metabolites from lakes: a Metagenomics 2.0 approach

Rafael R. C. Cuadrat, Danny Ionescu, Alberto M. R. Dávila, Hans‐Peter Grossart

The paper identifies secondary metabolite clusters from lake metagenomes using improved binning and analysis tools.

Frontiers in Microbiology · Feb 19, 2018Peer-reviewedBioinformatics