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ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics

Authors :
Holly Paddock
Ceri E. Van Slyke
Brock Sprunger
Douglas G. Howe
Amy Singer
Christian Pich
Barbara J. Ruef
Prita Mani
Tom Conlin
Ken Frazer
Leyla Ruzicka
Sierra A. T. Moxon
Kevin Schaper
Anne E. Eagle
Monte Westerfield
Ryan Martin
Sridhar Ramachandran
Yvonne M. Bradford
Jonathan Knight
Xiang Shao
David Fashena
Source :
Nucleic Acids Research
Publication Year :
2012
Publisher :
Oxford University Press (OUP), 2012.

Abstract

ZFIN, the Zebrafish Model Organism Database (http://zfin.org), is the central resource for zebrafish genetic, genomic, phenotypic and developmental data. ZFIN curators manually curate and integrate comprehensive data involving zebrafish genes, mutants, transgenics, phenotypes, genotypes, gene expressions, morpholinos, antibodies, anatomical structures and publications. Integrated views of these data, as well as data gathered through collaborations and data exchanges, are provided through a wide selection of web-based search forms. Among the vertebrate model organisms, zebrafish are uniquely well suited for rapid and targeted generation of mutant lines. The recent rapid production of mutants and transgenic zebrafish is making management of data associated with these resources particularly important to the research community. Here, we describe recent enhancements to ZFIN aimed at improving our support for mutant and transgenic lines, including (i) enhanced mutant/transgenic search functionality; (ii) more expressive phenotype curation methods; (iii) new downloads files and archival data access; (iv) incorporation of new data loads from laboratories undertaking large-scale generation of mutant or transgenic lines and (v) new GBrowse tracks for transgenic insertions, genes with antibodies and morpholinos.

Details

ISSN :
13624962 and 03051048
Volume :
41
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....013a810ad0c52c8a6be576bb301db617
Full Text :
https://doi.org/10.1093/nar/gks938