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

delete2025-11-01
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OA
AI
T
Tuomas Borman *
A
Artur Sannikov
R
ROBERT FINN
M
Morten T. Limborg
A
Alexander B. Rogers
V
Varsha Kale
K
Kati Hanhineva
L
Leo Lahti
DOI：10.1093/bioinformatics/btaf605delete
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Abstract

Abstract

En 中文
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.

Journal

Bioinformatics cover
Bioinformatics
IF:
5.4
Papers:
1.1K
Citations:
17.9W

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No organization information available