HoloFood Data Portal: holo-omic datasets for analysing host–microbiota interactions in animal production

The HoloFood project used a hologenomic approach to understand the impact of host-microbiota interactions on salmon and chicken production by analysing multiomic data, phenotypic characteristics, and associated metadata in response to novel feeds. The project's raw data, derived analyses, and metadata are deposited in public, open archives (BioSamples, European Nucleotide Archive, MetaboLights, and MGnify), so making use of these diverse data types may require access to multiple resources. This is especially complex where analysis pipelines produce derived outputs such as functional profiles or genome catalogues. The HoloFood Data Portal is a web resource that simplifies access to the project datasets. For example, users can conveniently access multiomic datasets derived from the same individual or retrieve host phenotypic data with a linked gut microbiome sample. Project-specific metagenome-assembled genome and viral catalogues are also provided, linking to broader datasets in MGnify. The portal stores only data necessary to provide these relationships, with possible linking to the underlying repositories. The portal showcases a model approach for how future multiomics datasets can be made available. Database URL: https://www.holofooddata.org.

Authors

Institutions

Publication Details

Journal
Database
Published
2025-01-01
DOI
https://doi.org/10.1093/database/baae112
Citations
4
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
3.22

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HoloFood Data Portal: holo-omic datasets for analysing host–microbiota interactions in animal production

Bent Petersen, Alexander B. Rogers, Antton Alberdi, Dipayan Gupta et al.
4 citations
Database
Genomics and Phylogenetic Studies
3.22
article

HoloFood Data Portal: holo-omic datasets for analysing host–microbiota interactions in animal production

Bent Petersen, Alexander B. Rogers, Antton Alberdi, Dipayan Gupta, Marcus Thomas P. Gilbert, Varsha Kale, Morten T. Limborg, Germana Baldi, Jacob Agerbo Rasmussen, Thomas Payne, ROBERT FINN, Sen Li, Lorna Richardson
article en
4 citations

Abstract

The HoloFood project used a hologenomic approach to understand the impact of host-microbiota interactions on salmon and chicken production by analysing multiomic data, phenotypic characteristics, and associated metadata in response to novel feeds. The project's raw data, derived analyses, and metadata are deposited in public, open archives (BioSamples, European Nucleotide Archive, MetaboLights, and MGnify), so making use of these diverse data types may require access to multiple resources. This is especially complex where analysis pipelines produce derived outputs such as functional profiles or genome catalogues. The HoloFood Data Portal is a web resource that simplifies access to the project datasets. For example, users can conveniently access multiomic datasets derived from the same individual or retrieve host phenotypic data with a linked gut microbiome sample. Project-specific metagenome-assembled genome and viral catalogues are also provided, linking to broader datasets in MGnify. The portal stores only data necessary to provide these relationships, with possible linking to the underlying repositories. The portal showcases a model approach for how future multiomics datasets can be made available. Database URL: https://www.holofooddata.org.

DatabaseVol. 2025
University of Copenhagen (DK), European Bioinformatics Institute (GB), AIMST University (MY), Vitensenteret i Trondheim (NO)
European Commission
Openalex Percentile: Top 10%
Genomics and Phylogenetic Studies
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.