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ZFIN, The zebrafish model organism database: Updates and new directions

Authors :
Amy Singer
Douglas G. Howe
Christian Pich
Sridhar Ramachandran
Leyla Ruzicka
Prita Mani
Holly Paddock
David Fashena
Yvonne M. Bradford
Xiang Shao
Sabrina Toro
Anne E. Eagle
Monte Westerfield
Kevin Schaper
Ceri E. Van Slyke
Ken Frazer
Patrick Kalita
Sierra A. T. Moxon
Jonathan Knight
Ryan Martin
Source :
genesis. 53:498-509
Publication Year :
2015
Publisher :
Wiley, 2015.

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.

Details

ISSN :
1526954X
Volume :
53
Database :
OpenAIRE
Journal :
genesis
Accession number :
edsair.doi...........94df0370fe13c295b947546843e6540f
Full Text :
https://doi.org/10.1002/dvg.22868