From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes

التفاصيل البيبلوغرافية
العنوان: From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes
المؤلفون: Yvonne M Bradford, Ceri E Van Slyke, Douglas G Howe, David Fashena, Ken Frazer, Ryan Martin, Holly Paddock, Christian Pich, Sridhar Ramachandran, Leyla Ruzicka, Amy Singer, Ryan Taylor, Wei-Chia Tseng, Monte Westerfield
المصدر: GENETICS. 224
بيانات النشر: Oxford University Press (OUP), 2023.
سنة النشر: 2023
مصطلحات موضوعية: Genetics
الوصف: Danio rerio is a model organism used to investigate vertebrate development. Manipulation of the zebrafish genome and resultant gene products by mutation or targeted knockdown has made the zebrafish a good system for investigating gene function, providing a resource to investigate genetic contributors to phenotype and human disease. Phenotypic outcomes can be the result of gene mutation, targeted knockdown of gene products, manipulation of experimental conditions, or any combination thereof. Zebrafish have been used in various genetic and chemical screens to identify genetic and environmental contributors to phenotype and disease outcomes. The Zebrafish Information Network (ZFIN, zfin.org) is the central repository for genetic, genomic, and phenotypic data that result from research using D. rerio. Here we describe how ZFIN annotates phenotype, expression, and disease model data across various experimental designs, how we computationally determine wild-type gene expression, the phenotypic gene, and how these results allow us to propagate gene expression, phenotype, and disease model data to the correct gene, or gene related entity.
تدمد: 1943-2631
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::bea702af5163eff2db6a633de765a112
https://doi.org/10.1093/genetics/iyad032
حقوق: OPEN
رقم الأكسشن: edsair.doi...........bea702af5163eff2db6a633de765a112
قاعدة البيانات: OpenAIRE