DocumentCode :
2058054
Title :
GO Visual Browser
Author :
Tily, Sara ; Murphy, Marguerite C. ; Dangat, Omkar ; Smith, Christopher D.
Author_Institution :
Comput. Sci. Dept., San Francisco State Univ., San Francisco, CA, USA
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
201
Lastpage :
204
Abstract :
Biologists commonly annotate genome and protein properties using ontology terms. While biologists have a deep understanding of the underlying biology, they rarely have a good understanding of the semantic networks used to represent domain ontologies. This paper presents the design and implementation of the GO Visual Browser: a new tool to provide visualization of Gene Ontology terms and relationships, as well as retrieval of associated genomic data. Browsing involves selecting a term and type of ontology relationship, and then displaying an interactive map with all of the related terms. This map can then be used to search a genome database for all features, related sequences, and metadata annotated with the selected ontology terms. Our code is fully functional and is being distributed as open source software.
Keywords :
biology computing; data visualisation; genomics; information retrieval; ontologies (artificial intelligence); GO Visual Browser; annotated metadata; domain ontologies; gene ontology visualization; genome database; genomic data retrieval; open source software; protein properties; semantic networks; Bioinformatics; Browsers; Databases; Genomics; Ontologies; Visualization; Controlled Vocabulary; GO term; Gene Ontology (GO); Interactive Graphical Interface; Relation; Visual Browser;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
Type :
conf
DOI :
10.1109/ICSC.2011.55
Filename :
6061355
Link To Document :
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