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Thiago Britto-Borges personal repository


Experienced Bioinformatician & Machine Learning Scientist | PhD in Bioinformatics | Specializing in RNA Splicing, Post-Transcriptional Regulation & OMICs Data Analysis.

Overview:

Hello, I'm Thiago Britto Borges! With over 11 years of experience in bioinformatics and computational biology, I specialize in analyzing clinical and OMICs datasets to uncover insights in disease diagnosis and treatment. My expertise spans from developing computational workflows to integrating machine learning techniques for groundbreaking research. I'm passionate about testing (and understanding), benchmarking and then leveraging state-of-the-art methodologies to contribute to multidisciplinary teams in computational biology.

Skills & Interests:

  • Languages: Proficient in Python and R, experienced with Linux systems (bash/fishell).
  • Tools: Snakemake/Nextflow, Docker/Singularity and HPC (sge / slurm).
  • Vast experience mediating the interfae between multi-disciplinary teams.
  • Fields of Interest: Bioinformatics, Computational Biology, Machine Learning, RNA Splicing, Transcriptomics, Proteomics.

Thiago Britto Borges's Projects

byvstzp_2020 icon byvstzp_2020

This repository contains the code for reproducing all the results and figures from the preprint "Isoform specificity in the mouse primary motor cortex".

cellplot icon cellplot

R package for the integrated visualisation of functional enrichment and expression data.

compstats icon compstats

Code for a workshop on statistical interference using computational methods in Python.

coxpath icon coxpath

Scripts and data from "Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms"

cpdd_poster icon cpdd_poster

Association of e-cigarette characteristics and cigarettes in youth

deep-review icon deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

goenrich icon goenrich

GO enrichment with python -- pandas meets networkx

isoformswitchanalyzer icon isoformswitchanalyzer

An R package to Identify, Annoatate and Visialize Isoform Switches with Functional Consequences (from RNA-seq data)

kmmms icon kmmms

K-mer Motif Multinomial Mixtures

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

pu-learning icon pu-learning

Positive and unlabeled learning wrappers for scikit-learn

scikit-bio icon scikit-bio

Core objects, functions and statistics for working with biological data in Python.

spice icon spice

SPiCe - Sequence-based Protein Classification

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