Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/123738
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Gene Ontology-based analysis of zebrafish’ omics data using the web tool Comparative Gene Ontology
Author: Ebrahimie, E.
Fruzangohar, M.
Moussavi Nik, S.
Newman, M.
Citation: Zebrafish, 2017; 14(5):492-494
Publisher: Mary Ann Liebert
Issue Date: 2017
ISSN: 1545-8547
1557-8542
Statement of
Responsibility: 
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.
RMID: 0030075411
DOI: 10.1089/zeb.2016.1290
Grant ID: http://purl.org/au-research/grants/nhmrc/1061006
Appears in Collections:Genetics publications

Files in This Item:
File Description SizeFormat 
hdl_123738.pdfAccepted version905.04 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.