Zebrafish information network, the knowledgebase for Danio rerio research

Abstract The Zebrafish Information Network (zfin.org) is the central repository for Danio rerio genetic and genomic data. The Zebrafish Information Network has served the zebrafish research community since 1994, expertly curating, integrating, and displaying zebrafish data. Key data types available...

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Vydáno v:Genetics (Austin) Ročník 220; číslo 4
Hlavní autoři: Bradford, Yvonne M, Van Slyke, Ceri E, Ruzicka, Leyla, Singer, Amy, Eagle, Anne, Fashena, David, Howe, Douglas G, Frazer, Ken, Martin, Ryan, Paddock, Holly, Pich, Christian, Ramachandran, Sridhar, Westerfield, Monte
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Oxford University Press 04.04.2022
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ISSN:1943-2631, 1943-2631
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Shrnutí:Abstract The Zebrafish Information Network (zfin.org) is the central repository for Danio rerio genetic and genomic data. The Zebrafish Information Network has served the zebrafish research community since 1994, expertly curating, integrating, and displaying zebrafish data. Key data types available at the Zebrafish Information Network include, but are not limited to, genes, alleles, human disease models, gene expression, phenotype, and gene function. The Zebrafish Information Network makes zebrafish research data Findable, Accessible, Interoperable, and Reusable through nomenclature, curatorial and annotation activities, web interfaces, and data downloads. Recently, the Zebrafish Information Network and 6 other model organism knowledgebases have collaborated to form the Alliance of Genome Resources, aiming to develop sustainable genome information resources that enable the use of model organisms to understand the genetic and genomic basis of human biology and disease. Here, we provide an overview of the data available at the Zebrafish Information Network including recent updates to the gene page to provide access to single-cell RNA sequencing data, links to Alliance web pages, ribbon diagrams to summarize the biological systems and Gene Ontology terms that have annotations, and data integration with the Alliance of Genome Resources.
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ISSN:1943-2631
1943-2631
DOI:10.1093/genetics/iyac016