PUBLICATION
Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology
- Authors
- Ebrahimie, E., Fruzangohar, M., Moussavi Nik, S.H., Newman, M.
- ID
- ZDB-PUB-170906-3
- Date
- 2017
- Source
- Zebrafish 14(5): 492-494 (Journal)
- Registered Authors
- Newman, Morgan
- Keywords
- Gene Ontology, bioinformatics, genomics
- MeSH Terms
-
- Animals
- Gene Expression Profiling
- Gene Ontology*
- Genomics
- Internet*
- Proteomics
- Software*
- Zebrafish/genetics*
- PubMed
- 28873048 Full text @ Zebrafish
Citation
Ebrahimie, E., Fruzangohar, M., Moussavi Nik, S.H., Newman, M. (2017) Gene Ontology-Based Analysis of Zebrafish Omics Data Using the Web Tool Comparative Gene Ontology. Zebrafish. 14(5):492-494.
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." GO analysis can assist in revealing functional mechanisms 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.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping