Vertebrate Trait Ontology
How to cite this record FAIRsharing.org: VT; Vertebrate Trait Ontology; DOI: https://doi.org/10.25504/FAIRsharing.10gr18; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 15 2018 4:12 p.m.
Record updated: May 3, 2017, 2:39 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.10gr18' by 'The FAIRsharing Team' at 14:39, 03 May 2017 (approved): 'obo_abbreviation' has been modified: Before: vt After: vt
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Characterizations of hundreds of strains of laboratory mice to facilitate translational discoveries and to assist in selection of strains for experimental studies. Data sets are voluntarily contributed by researchers or retrieved by us from public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys.
Rat Genome Database
The Rat Genome Database is the premier site for genetic, genomic, phenotype, and disease data generated from rat research. It provides easy access to corresponding human and mouse data for cross-species comparison and its comprehensive data and innovative software tools make it a valuable resource for researchers worldwide.
Animal Quantitative Trait Loci (QTL) Database
The Animal Quantitative Trait Loci (QTL) Database (Animal QTLdb) strives to collect all publicly available trait mapping data, i.e. QTL (phenotype/expression, eQTL), candidate gene and association data (GWAS), and copy number variations (CNV) mapped to livestock animal genomes, in order to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features such as annotated genes.
Animal Trait Correlation Database
A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
BovineMine integrates the bovine reference genome assembly with many other biological data sets, including genomes of other species. The sheep and goat genomes allow comparison across ruminants. Model organism data (human, mouse, rat) allow well-curated data sets to be applied to ruminants using orthology.
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This record is maintained by AnimalGenome
U.S. National Library of Medicine (Government body)
University of Iowa (University)
2008-35205-18765 (National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), USA)