University of Wisconsin–Madison
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We develop open-source computational tools to support genomic and environmental research in livestock. All tools are freely available and designed to be accessible to researchers with varying levels of programming experience.

EnrichKit

A multi-omics tool for livestock research

EnrichKit is a comprehensive R-based tool designed for functional characterization of gene lists in livestock species. It maps genomic coordinates (from GWAS, RNA-seq, WGBS, etc.) to gene features and performs enrichment analysis using multiple biological databases including Gene Ontology (GO), KEGG pathways, InterPro domains, and medical subject headings.

Features

  • Maps genomic coordinates to gene features using species-specific annotations
  • Supports multiple livestock species (cattle, pig, chicken, sheep, horse)
  • Performs over-representation analysis (ORA) and gene set enrichment analysis (GSEA)
  • Integrates GO, KEGG, InterPro, and MeSH databases
  • Handles data from SNP arrays, WGS, RNA-seq, WGBS, and ATAC-seq
  • Generates publication-ready plots and summary tables
R Bioinformatics Multi-omics Functional Analysis Livestock
Citation: L Liu and F Peñagaricano (2025). EnrichKit: a multi-omics tool for livestock research. Frontiers in Genetics 16: 1573374.

greenfeedr

An R-package for processing GreenFeed data

greenfeedr is an R package that streamlines the processing and reporting of data collected from GreenFeed systems (C-Lock Inc.), which measure individual enteric methane (CH₄) and carbon dioxide (CO₂) emissions from ruminant animals. The package automates data cleaning, quality control, and summary statistics, reducing processing time and ensuring consistency across research groups.

Features

  • Reads and parses raw GreenFeed output files
  • Applies customizable quality control filters
  • Calculates daily and period-level gas emission summaries
  • Generates standardized reports and visualizations
  • Supports multi-unit and multi-farm data
  • Integrates with existing R-based analysis workflows
R GreenFeed Methane Emissions Dairy Cattle
Citation: G Martinez Boggio, P Lutz, M Harrison, KA Weigel, and F Peñagaricano (2025). greenfeedr: an R-package for processing and reporting GreenFeed data. JDS Communications 6: 227-230.