Author

Rodrigo Lima Andrade

Universidade Federal do Rio Grande do Norte

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Daniel H. F. GomesiD· 2 shared Gustavo A. de SouzaiD· 2 shared José Eduardo KrolliD· 2 shared Leonardo VaruzzaiD· 2 shared Pedro Victor Barbosa Araujo· 2 shared Tayná da Silva FiúzaiD· 2 shared Pitágoras de Azevedo Alves SobrinhoiD· 1 shared SANDRO JOSÉ DE SOUZAiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Daniel H. F. GomesORCID

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2 papers

Recent·Most cited

GTX-GUT: A Standardized Metagenomic Workflow for Gut Microbiome Profiling and Clinical Associations

Rodrigo Lima Andrade, Tayná da Silva Fiúza, José Eduardo Kroll, Pedro Victor Barbosa Araujo, Daniel H. F. Gomes, Leonardo Varuzza, Gustavo A. de Souza, Pitágoras de Azevedo Alves Sobrinho, SANDRO JOSÉ DE SOUZA

GTX-GUT is a standardized metagenomic workflow for gut microbiome profiling that integrates quality control, taxonomic classification, and clinical association analysis, showing improved accuracy and reproducibility in microbiome studies.

bioRxiv · Aug 25, 2026 · PreprintBioinformatics

From Data Curation to Risk Reporting: A Pipeline for Polygenic Risk Scores

Pedro Victor Barbosa Araujo, Tayná da Silva Fiúza, José Eduardo Kroll, Rodrigo Lima Andrade, Daniel H. F. Gomes, Leonardo Varuzza, Gustavo A. de Souza

This paper presents a pipeline for polygenic risk score calculation that includes data curation, statistical methods, and reporting, resulting in a curated database and interpretable reports for PRS analysis.

bioRxiv · Aug 25, 2026 · PreprintBioinformatics