Genomic Annotation in Livestock for Positional Candidate LOci
Overview
The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
- The GALLO v2.0 introduces new tools for pleiotropic effect detection, estimation of effective marker numbers and independent chromosomal segments, gene-level p-value calculation, and network-based visualization and gene prioritization. This is the most substantial update since GALLO’s initial release. These additions expand users’ ability to integrate high-throughput data, uncover hidden patterns across datasets, mine previously reported associations, and more efficiently investigate the genetic architecture of complex traits in livestock.
From NEWS in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-10
Show 3 earlier changesHide 3 earlier changes
- ERROR12 OK, 1 ERROR2026-05-03
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 43 (27 internal)
- Examples that run
- 82%9 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 44%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 16%
Downloads
Repository
Stars over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/pablobio/gallo on 2026-10-18.
GitHub Pages site last deployed 2020-07-09
Dependencies
Installing GALLO adds 77 packages (37 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.0Latest
- RR 4.5.0 released · 2025-04-11
- 1.52024-06-04 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.42024-03-13 · diff ↗ ·
added 6 exports
NetCen, NetVis, Nmarkers_SimpleM, Nseg_chr, PleioChiTest, gene_pval - RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.32021-11-09 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.22021-04-08 · diff ↗
- 1.12020-11-06 · diff ↗
- 1.02020-10-08 · diff ↗
- 0.99.02020-09-01
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-09-01
- Total releases
- 8 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 1.2 MB / 4 files
- Download size
- 2.0 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("GALLO")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/gigascience/giaa149.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.