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|Title:||Gene Ontology-based analysis of zebrafish’ omics data using the web tool Comparative Gene Ontology|
Moussavi Nik, S.
|Citation:||Zebrafish, 2017; 14(5):492-494|
|Publisher:||Mary Ann Liebert|
|Esmaeil Ebrahimie, Mario Fruzangohar, Seyyed Hani Moussavi-Nik, and Morgan Newman|
|Abstract:||Gene Ontology (GO) analysis is a powerful tool in systems biology, which uses a defined nomenclature to annotate genes/proteins within three categories: ‘‘Molecular Function,’’ ‘‘Biological Process,’’ and ‘‘Cellular Component.’’ GOanalysis can assist in revealing functionalmechanisms underlying observed patterns in transcriptomic, genomic, and proteomic data. The already extensive and increasing use of zebrafish for modeling genetic and other diseases highlights the need to develop a GO analytical tool for this organism. The web tool Comparative GO was originally developed for GO analysis of bacterial data in 2013 (www.comparativego.com). We have now upgraded and elaborated this web tool for analysis of zebrafish genetic data using GOs and annotations from the Gene Ontology Consortium.|
|Keywords:||genomics; bioinformatics; Gene Ontology|
|Rights:||© Mary Ann Liebert, Inc.|
|Appears in Collections:||Genetics publications|
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