Felipe Vaz Peres
Bioinformatics Scientist
I am a bioinformatics scientist with a M.Sc. in Bioinformatics and 6 years of experience in computational biology and large scale data analysis.
I am particularly interested in computational approaches to genomics, metagenomics, transcriptomics, non-coding RNA, and developing efficient & reproducible workflows.
Research
Below are my research contributions as first author, with exciting new projects in progress!
pan-RNAome
This study focuses on characterizing ncRNAs and lncRNAs in sugarcane, addressing gaps in understanding their variability, conservation, co-expression patterns, and functional roles.
pan-Transcriptome
Inference and annotation of the sugarcane pan-transcriptome. This study provide a robust framework for pan-transcriptome analysis in complex polyploid crops and resources to enhance sugarcane breeding programs.
Software & Development
Computational Reproducibility
Ensuring reproducibility remains one of the major challenges in computational biology. To address this, I develop robust, efficient, and reproducible workflows.
This section highlights my contributions to bioinformatics software, showcasing the tools and workflows from projects I've been involved in.
KAPT
Nextflow pipeline for automated inference of the Kappaphycus alvarezii proteome through de novo transcriptome assembly and comprehensive functional annotation.
T-M Integration
Nextflow pipeline for automated integration of transcriptomic and microbiome data, performing cross-correlation analysis to uncover potential host transcriptome-microbiome associations.
R2C
Nextflow pipeline for scalable gene co-expression network analysis. It automates the process from data download, quantification and network construction.
seabed symphony
Metagenomics pipeline for biosynthetic gene cluster discovery. Designed for identification of novel BGCs in microbiome of marine sediment datasets.
YAATAP
Snakemake pipeline for de novo transcriptome assembly. It performs every step from raw RNA-seq data download to the final transcriptome assembly and quality assessment.
Get In Touch
Interested in collaboration or have questions about my research? Feel free to reach out!