Giovanni Marques de Castro

The paper analyzes citation practices for biological resources over 10 years, showing improved findability and adherence to NIH rigor criteria after adopting RRID citations.

This paper identifies gene clusters in Sphingobium yanoikuyae A-TP responsible for metabolizing limonene, α-pinene, and citronellol, and proposes candidates for limonene 8-hydratase.

This study uses eDNA metabarcoding to assess biodiversity in a large reservoir, revealing previously unreported species and demonstrating that 30% sampling can effectively capture biodiversity.

CALANGO identifies genotype-phenotype associations across species by integrating genomic, evolutionary, and phenotypic data to uncover biologically relevant molecular mechanisms.

The paper evaluates eDNA metabarcoding in a reservoir to assess biodiversity, finding it detects many taxa including previously unreported species and provides insights into fish population genetics.

This paper develops a machine learning method to predict essential genes in insects using sequence-based attributes, validated on Drosophila and Tribolium, and shows cross-species predictive capability.