Construction and accessibility of a cross-species phenotype ontology along with gene annotations for biomedical research [v2; ref status: indexed, http://f1000r.es/2td]
- Charité-Universitatsmedizin Berlin (Germany). Inst. for Medical and Human Genetics; Charité-Universitatsmedizin Berlin (Germany). Berlin-Brandenberg Center for Regenerative Therapies (BCRT)
- Charité-Universitatsmedizin Berlin (Germany). Inst. for Medical and Human Genetics
- Univ. of Oregon, Eugene, OR (United States). Inst. of Neuroscience, Zebrafish Facility (ZFIN)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Univ. of Aberystwyth (United Kingdom). Dept. of Computer Science
- Univ. of Cambridge (United Kingdom). Dept. of Genetics
- Wellcome Trust Sanger Inst., Cambridge (United Kingdom)
- Charité-Universitatsmedizin Berlin (Germany). Inst. for Medical and Human Genetics; Charité-Universitatsmedizin Berlin (Germany). Berlin-Brandenberg Center for Regenerative Therapies (BCRT); Max Planck Inst. for Molecular Genetics, Berlin (Germany)
Phenotype analyses, e.g. investigating metabolic processes, tissue formation, or organism behavior, are an important element of most biological and medical research activities. Biomedical researchers are making increased use of ontological standards and methods to capture the results of such analyses, with one focus being the comparison and analysis of phenotype information between species. We have generated a cross-species phenotype ontology for human, mouse and zebrafish that contains classes from the Human Phenotype Ontology, Mammalian Phenotype Ontology, and generated classes for zebrafish phenotypes. We also provide up-to-date annotation data connecting human genes to phenotype classes from the generated ontology. We have included the data generation pipeline into our continuous integration system ensuring stable and up-to-date releases. This article describes the data generation process and is intended to help interested researchers access both the phenotype annotation data and the associated cross-species phenotype ontology. The resource described here can be used in sophisticated semantic similarity and gene set enrichment analyses for phenotype data across species. The stable releases of this resource can be obtained fromhttp://purl.obolibrary.org/obo/hp/uberpheno/.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division; USDOE Office of Science (SC), Basic Energy Sciences (BES); German Research Foundation (DFG); Bundesministerium für Bildung und Forschung (BMBF); National Institutes of Health (NIH)
- Grant/Contract Number:
- AC02-05CH11231; DFG RO 2005/4-1; HG000330; U41-HG002659; R01-HG004838; R24-OD011883
- OSTI ID:
- 1629554
- Journal Information:
- F1000Research, Vol. 2; ISSN 2046-1402
- Publisher:
- F1000ResearchCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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