.png){kind=icon}
Return
HoloFoodR: a statistical programming framework for holo-omics data integration workflows
.png){kind=icon}
OA
AI
DOI：10.1093/bioinformatics/btaf605.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
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
IF:
5.4
Papers:
1.3K
Citations:
17.9W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSave