Learn to use the Gene Ontology or GO, an excellent system designed to create a list of biologically relevant and carefully structured terms that can be shared among all sorts of bioinformatics resources. The controlled vocabulary terms describe gene product characteristics such as biological process, molecular function and cellular component. GO can be browsed or queried in several ways using the AmiGO browser on the GO site, and users can examine text-based displays of the hierarchies of terms or view graphical displays of the term organization, and more. Many genome databases use GO to add important functional annotations to their characterized genes.
You will learn:
This tutorial is a part of the tutorial group Text-related tools. You might find the other tutorials in the group interesting:
PubMatrix: PubMatrix, an on-line tool for multiplex literature mining of the PubMed database.
iHOP: Information Hyperlinked Over Proteins text mining resource
STRING: known and predicted protein-protein interactions
Textpresso: Text-mining the biological literature
XplorMed: eXploring Medline abstracts
GoMiner: Ascribe biological significance to large lists of genes by annotating them with their corresponding GO categories
Controlled Vocabularies: Standardized term lists that can enhance interactions with biological databases
DAVID: A tool that analyzes large lists of genes to provide biological meaning
Entrez Overview: Overview of NCBI's Entrez Search Resource
PubMed: PubMed access to biomedical research literature
Literature and Text Mining : Tools which are related to scientific literature. Repositories, query tools, and mining resources are included.
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