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BrunoFOmena/README.md

Hi, I'm Bruno Feliciano de Omena

Portfolio LinkedIn Gmail

About Me

  • BSc Student in Biomedicine — Federal University of Pernambuco (UFPE)
  • PIBIC-CNPq Scholar — Transcriptomic Analysis, Depression and Suicide at NUPIT/UFPE
  • Former PIBIT-CNPq Scholar — Lipid Nanoparticles at iLIKA/UFPE
  • Award Winner — Center for Informatics (CIn) at UFPE for the Argos project (SaaS solution with AI)

Research Interests

  • Transcriptomic Analysis — Currently working with RNA-seq data analysis using R and Python, identifying differential expression patterns associated with MDD and suicidal behavior
  • Bioinformatics Pipelines — Developing automated workflows with Nextflow and Snakemake for genomic and transcriptomic data processing
  • Neurobiological Processes — Investigating neural modulation and proteomics data analysis in neurobiological contexts
  • Open Science — Committed to reproducible research and open science practices in bioinformatics

Skills & Certifications

  • Tools: Nextflow, Snakemake, Python, R, Shiny
  • Certified: Oracle Cloud Infrastructure (OCI) Foundations Associate
  • Expertise: RNA-seq analysis, NGS data processing, Quality control, Differential gene expression

Pinned Loading

  1. tcga-gbm-gene-expression-classification tcga-gbm-gene-expression-classification Public

    Machine learning workflow for binary and multiclass prediction of glioblastoma molecular labels from TCGA RNA-seq data.

    Jupyter Notebook

  2. gse124208-mut-vs-gc-rnaseq gse124208-mut-vs-gc-rnaseq Public

    Análise transcriptômica exploratória de separação de células mutantes para ERCC6 e células GC a partir do conjunto de dados GSE124208, utilizando PCA e regressão logística.

    Jupyter Notebook