ArticleComputational and structural biotechnology journal2022
ADDAGMA: A database for domestic animal gut microbiome atlas.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Dual-platform metagenomic surveillance distinguishes pathogen and resistome hotspots across agricultural and mixed-use watersheds.One health (Amsterdam, Netherlands) · 2026Article
- A manually curated pig gut microbiome dataset for precision feeding.Scientific data · 2026Article
- Environmental fate of antibiotic resistance genes in livestock farming.Archives of microbiology · 2025Review
- FACdb: a comprehensive resource for genes, gut microbiota, and metabolites in farm animals.Frontiers in microbiology · 2025Article
- Host-microbe interaction-mediated resistance to DSS-induced inflammatory enteritis in sheep.Microbiome · 2024Article
- Knowledge graph-derived feed efficiency analysis via pig gut microbiota.Scientific reports · 2024Article
- The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes.Animal microbiome · 2023Article
- Microbial Risks Caused by Livestock Excrement: Current Research Status and Prospects.Microorganisms · 2023Review
- Exploring the Influence of Growth-Associated Host Genetics on the Initial Gut Microbiota in Horses.Genes · 2023Article
- Big Data for a Small World: A Review on Databases and Resources for Studying Microbiomes.Journal of the Indian Institute of Science · 2023Review
- Effect of dietary iron supplementation on the equine fecal microbiome.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2023Article
- Understanding the microbial fibre degrading communities & processes in the equine gut.Animal microbiome · 2023Review
- CRAMdb: a comprehensive database for composition and roles of microbiome in animals.Nucleic acids research · 2023Article
- Exercise and microbiome: From big data to therapy.Computational and structural biotechnology journal · 2023Review
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal gut microbiomes play important roles in the health, diseases, and production of animal hosts. The volume of animal gut metagenomic data, including both 16S amplicon and metagenomic sequencing data, has been increasing exponentially in recent years, making it increasingly difficult for researchers to query, retrieve, and reanalyze experimental data and explore new hypotheses. We designed a database called the domestic animal gut microbiome atlas (ADDAGMA) to house all publicly available, high-throughput sequencing data for the gut microbiome in domestic animals. ADDAGMA enhances the availability and accessibility of the rapidly growing body of metagenomic data. We annotated microbial and metadata from four domestic animals (cattle, horse, pig, and chicken) from 356 published papers to construct a comprehensive database that is equipped with browse and search functions, enabling users to make customized, complicated, biologically relevant queries. Users can quickly and accurately obtain experimental information on sample types, conditions, and sequencing platforms, and experimental results including microbial relative abundances, microbial taxon-associated host phenotype, and P-values for gut microbes of interest. The current version of ADDAGMA includes 290,422 quantification events (changes in abundance) for 3215 microbial taxa associated with 48 phenotypes. ADDAGMA presently covers gut microbiota sequencing data from pig, cattle, horse, and chicken, but will be expanded to include other domestic animals. ADDAGMA is freely available at (http://addagma.omicsbio.info/).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.