Tiago Cabral Borelli

Semi-automated monitoring of longitudinal microbial metabolic dynamics: A study case for lignin degradation

This paper presents a low-cost bioreactor system for monitoring microbial metabolic dynamics in lignin degradation studies using two fungal species.

DeepSEA: an alignment-free deep learning tool for functional annotation of antimicrobial resistance proteins

This paper introduces DeepSEA, a deep learning tool that functionally annotates antimicrobial resistance proteins without sequence alignment, achieving higher recall than alignment-based methods.

Characterization of a marine bacteria through a novel metabologenomics approach

The paper characterizes a marine bacteria using a metabologenomics approach, linking genomic and metabolomic data to identify a new biosynthetic gene cluster and bioactive compound.

ClusterApp to visualize, organize, and navigate metabolomics data

ClusterApp provides a web tool for metabolomics data analysis using PCoA, offering preprocessing, visualization, and clustering features to enhance data interpretation.

Improving annotation propagation on molecular networks through random walks: Introducing ChemWalker

The paper introduces ChemWalker, a method that improves annotation propagation on molecular networks using random walks, enhancing scalability and efficiency compared to previous approaches.

Big trouble with little inserts: boundaries in metagenomic screenings using lacZα based vectors

The paper identifies false positives in metagenomic screenings using lacZα-based vectors due to small DNA insertions within the lacZα gene, highlighting the need to report screening boundaries.