Roberto Tadeu Raittz

Altered microglial communication in brains with Alzheimers Disease pathology

The paper analyzes microglial communication in Alzheimer's disease using single-nucleus RNA sequencing to identify altered signaling pathways and cell interactions associated with disease pathology.

Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity

This study integrates multi-omics data from aged human brains to identify cross-system biological factors and molecular subtypes associated with Alzheimer's disease heterogeneity.

Cytokine expression profile in the human brain of older adults

This study examines cytokine gene expression in human brain tissue from elderly individuals with and without Alzheimer's disease to identify biomarkers and understand disease mechanisms.

Genotyping TOMM40'523 Poly-T Polymorphisms Using Whole-Genome Sequencing

This paper introduces a computational pipeline for genotyping TOMM40 poly-T polymorphisms from whole-genome sequencing data, achieving high accuracy and consistency with PCR-based genotypes.

Generative Approaches for Nucleotide Sequences to Enhance Non-coding RNA Classification

This study introduces GENNUS, a generative approach using GANs and SMOTE to improve ncRNA classification by addressing class imbalance through synthetic data generation.

Biotext: Exploiting Biological-like format for text mining

BIOTEXT converts natural language text into biological-like data formats for text mining, enabling encoding and decoding of textual information for amino acids and DNA.

rSWeeP: A R/Bioconductor package deal with SWeeP sequences representation

The paper introduces rSWeeP, an R/Bioconductor package implementing the SWeeP model for efficient heuristic representation of Big Data, and demonstrates its use in phylogenetic and PCA analysis of viral proteomes.

RAFTS3G - An efficient and versatile clustering software to analyses in large protein datasets

RAFTS3G is a clustering tool for protein datasets that is faster than CD-HIT and better at detecting low-similarity homology.

The identification of DNA binding regions of the σ54 factor using artificial neural network

This study introduces a neural network model and tool to identify σ54 TFBSs with high sensitivity and specificity, enabling genome-wide analysis of σ54-regulated genes across bacterial species.