Antônio Reverter

Ruminosignatures associated with methane emissions and feed efficiency across geographies and cattle breeds

This study identifies Ruminosignatures in cattle rumen microbiota linked to methane emissions and feed efficiency across breeds and geographies.

Leveraging Transcriptomics-Based Approaches to Enhance Genomic Prediction: Integrating SNP weights and gene-networks for Cotton Fibre Quality Improvement

This paper improves genomic prediction accuracy for cotton fibre traits by integrating gene-network clusters derived from RNA-seq data into Bayesian models.

Genome-wide co-expression distributions as a metric to prioritize genes of functional importance

The paper introduces a method to analyze genome-wide co-expression distributions to identify genes with functional importance by comparing distribution shapes across species.

Integrated transcriptome, DNA methylome and chromatin state accessibility landscapes reveal regulators of Atlantic salmon maturation

The paper identifies regulators of sexual maturation in Atlantic salmon by integrating transcriptome, methylome, and chromatin accessibility data from a time course experiment.

Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach

The paper identifies genetic regulators of mineral amount in Nelore cattle muscle using co-expression and regulatory impact factor analyses, finding extracellular matrix interactions as core regulators.

Association analysis of loci implied in “buffering” epistasis

This paper develops a statistical model to detect buffering loci in genome-wide association studies and identifies loci with significant epistatic effects but no additive effects in bovine data.

Systems biology reveals NR2F6 and TGFB1 as key regulators of feed efficiency in beef cattle

The paper identifies NR2F6 and TGFB1 as key regulators of feed efficiency in beef cattle using systems biology approaches and validates their roles in hepatic inflammation and muscle development.

Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics and epigenetics data

The paper develops a computational method to predict regulatory regions in mammals using human genomics data, and applies it to cattle to prioritize variants and identify genome editing targets.