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.

This study investigates molecular changes in the frontal cortex and serum of VPA-exposed rats, finding dysregulated myelin and synaptic genes and a serum FTIR spectroscopy biomarker for autism.

The paper analyzes proteomics data to identify cancer-testis antigens (CTAs) in healthy and tumor tissues, finding 22 significantly enriched, 42 tumor-exclusive, and 32 healthy-abundant CTAs.

The paper introduces a method to detect bimodal gene expression using Gaussian Mixture Models and identifies 554 bimodal genes across 25 tumor types, with 96 linked to prognosis differences.

The paper characterizes the transcriptome of Arapaima gigas using multi-tissue RNA-sequencing to identify tissue-specific and sex-biased gene expression patterns.

neoANT-HILL improves neoantigen detection from NGS data by integrating immunogenomic analyses and was tested on melanoma TCGA somatic mutations.

The paper evaluates how merging multiple bacterial strains into protein sequence databases affects proteogenomics by analyzing pangenome complexity and annotation discrepancies.