Gabriel Santos Arini

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

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.

This study evaluates combining individual and group assessments, finding higher group scores and student acknowledgment of benefits in an active learning environment.

The paper introduces RegFilter, a tool that enhances metabolite detection in DDA mode by dynamically selecting precursor ions and creating custom spectral libraries.

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