Ebrahimie Esmaeil, Fruzangohar Mario, Moussavi Nik Seyyed Hani, Newman Morgan
1 Alzheimer's Disease Genetics Laboratory, Centre for Molecular Pathology, School of Biological Sciences, The University of Adelaide , Adelaide, Australia .
2 Division of Information Technology, Engineering and the Environment, School of Information Technology and Mathematical Sciences, University of South Australia , Adelaide, Australia .
Zebrafish. 2017 Oct;14(5):492-494. doi: 10.1089/zeb.2016.1290. Epub 2017 Sep 5.
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.
基因本体论(GO)分析是系统生物学中的一种强大工具,它使用一套既定的术语来注释基因/蛋白质,分为三个类别:“分子功能”、“生物学过程”和“细胞组分”。GO分析有助于揭示转录组学、基因组学和蛋白质组学数据中观察到的模式背后的功能机制。斑马鱼在遗传和其他疾病建模中的应用已经非常广泛且不断增加,这凸显了为这种生物开发一种GO分析工具的必要性。网络工具Comparative GO最初于2013年开发用于细菌数据的GO分析(www.comparativego.com)。我们现在已经对这个网络工具进行了升级和完善,以便使用来自基因本体论联盟的GO和注释来分析斑马鱼的遗传数据。