Thiago M. Venâncio

EMA curates 99 Eucalyptus grandis miRNAs from three datasets, organized by confidence tiers and integrated with target interactions and functional networks.

This study analyzes 10,839 Bacillus genomes to explore taxonomy, functional potential, and biotechnological applications, identifying gene variability and key traits across species.

The paper performs a comparative genomic analysis of Azospirillum genomes to identify a species complex and validate its biosafety and plant growth-promoting potential.

This study identifies proteomic and polyamine changes in Paubrasilia echinata seeds during development and germination, revealing key regulators and metabolic shifts.

This study analyzes Pantoea genomes to identify genes linked to biotechnological potential, virulence, and antibiotic resistance, clarifying lifestyle strategies within the genus.

This study identifies MADS-box transcription factors and biosynthetic gene expression patterns in Cannabis sativa, linking them to floral identity and trichome metabolism.

The paper identifies housekeeping genes and constructs a gene coexpression network in Cannabis sativa L. to better understand gene function and regulation.

This study identifies epigenetic regulators in Rhipicephalus microplus and shows that DNA methylation inhibition affects mitochondrial function and cell proliferation during embryogenesis.

The paper quantifies genetic discontinuity in bacterial species and links it to ecological factors using a large genome dataset.

The paper compiles and analyzes Cannabis RNA-Seq data to create a database for gene expression studies in Cannabis sativa L.

This study analyzes oil-related gene families across legumes to understand lipid metabolism and oil richness in soybean, identifying gene expansions and expression patterns linked to seed oil content.

This study compares seed-borne microbiomes of a landrace and hybrid maize variety, finding greater diversity in the landrace and distinct functional gene profiles.

cageminer integrates GWAS and gene coexpression networks to prioritize candidate genes by filtering for physical proximity to SNPs, coexpression with known trait-associated genes, and expression changes in relevant conditions.

BioNERO provides an integrated R/Bioconductor package for streamlined biological network reconstruction, combining preprocessing, network inference, and functional analysis into a single workflow.

This study shows Zika virus infection increases Aedes aegypti histone acetyltransferase CBP activity, enhancing immune gene expression and reducing viral titers.

This study analyzes the population structure, virulence, and antimicrobial resistance of Klebsiella aerogenes using genomic data from 97 isolates.

The paper analyzes the pangenome and population structure of Enterobacter bugandensis, identifying antimicrobial resistance genes and iron acquisition strategies across different phylogroups.

This study investigates the evolutionary origin and functional roles of the transcription factor zelda in short-germ insects, revealing its involvement in MZT, posterior segmentation, and pluripotency maintenance.

The paper reports de novo transcriptomes of midgut tissues from four non-model insects and identifies transcriptional patterns related to digestion and xenobiotic defense.