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Nevin Manimala Statistics

HoloFoodR: a statistical programming framework for holo-omics data integration workflows

Bioinformatics. 2025 Nov 9:btaf605. doi: 10.1093/bioinformatics/btaf605. Online ahead of print.

ABSTRACT

SUMMARY: Holo-omics is an emerging research area that integrates multi-omic datasets from the host organism and its microbiome to study their interactions. Recently, curated and openly accessible holo-omic databases have been developed. The HoloFood database, for instance, provides nearly 10,000 holo-omic profiles for salmon and chicken under controlled treatments. However, bridging the gap between holo-omic data resources and algorithmic frameworks remains a challenge. Combining the latest advances in statistical programming with curated holo-omic data sets can facilitate the design of open and reproducible research workflows in the emerging field of holo-omics.

AVAILABILITY AND IMPLEMENTATION: HoloFoodR R/Bioconductor package and the source code are available under the open-source Artistic License 2.0 at the package homepage https://doi.org/10.18129/B9.bioc.HoloFoodR.

SUPPLEMENTARY INFORMATION: Available in the package vignette https://ebi-metagenomics.github.io/HoloFoodR/articles/case_study.html.

PMID:41206936 | DOI:10.1093/bioinformatics/btaf605

By Nevin Manimala

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