| Literature DB >> 26097180 |
Leyla Ruzicka1, Yvonne M Bradford1, Ken Frazer1, Douglas G Howe1, Holly Paddock1, Sridhar Ramachandran1, Amy Singer1, Sabrina Toro1, Ceri E Van Slyke1, Anne E Eagle1, David Fashena1, Patrick Kalita1, Jonathan Knight1, Prita Mani1, Ryan Martin1, Sierra A T Moxon1, Christian Pich1, Kevin Schaper1, Xiang Shao1, Monte Westerfield1.
Abstract
The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for genetic and genomic data from zebrafish (Danio rerio) research. ZFIN staff curate detailed information about genes, mutants, genotypes, reporter lines, sequences, constructs, antibodies, knockdown reagents, expression patterns, phenotypes, gene product function, and orthology from publications. Researchers can submit mutant, transgenic, expression, and phenotype data directly to ZFIN and use the ZFIN Community Wiki to share antibody and protocol information. Data can be accessed through topic-specific searches, a new site-wide search, and the data-mining resource ZebrafishMine (http://zebrafishmine.org). Data download and web service options are also available. ZFIN collaborates with major bioinformatics organizations to verify and integrate genomic sequence data, provide nomenclature support, establish reciprocal links, and participate in the development of standardized structured vocabularies (ontologies) used for data annotation and searching. ZFIN-curated gene, function, expression, and phenotype data are available for comparative exploration at several multi-species resources. The use of zebrafish as a model for human disease is increasing. ZFIN is supporting this growing area with three major projects: adding easy access to computed orthology data from gene pages, curating details of the gene expression pattern changes in mutant fish, and curating zebrafish models of human diseases.Entities:
Keywords: curation; data mining; human disease models; ontology
Mesh:
Substances:
Year: 2015 PMID: 26097180 PMCID: PMC4545674 DOI: 10.1002/dvg.22868
Source DB: PubMed Journal: Genesis ISSN: 1526-954X Impact factor: 2.487