DocumentCode :
2400100
Title :
Visual annotation of the gene database
Author :
Wen, Jing ; Wang, Xishu ; Kibbe, Warren ; Lin, Simon ; Lu, Hui
Author_Institution :
Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4175
Lastpage :
4177
Abstract :
The genes in NCBI databases are currently annotated with itemized text (Gene Reference Into Function, or GeneRIF). A previous work suggests that the visual presentation can be more effective when time and space are under heavy constraints. Here we report a novel annotation of the genome information using Web 2.0 technologies: GeneGIF (Gene Graphics Into Function). The users can quickly scan through important functions of each gene from a graph, and then go to detailed pages when they find interesting annotations. The modular implementation makes it easily pluggable into other widely used databases without reprogramming. Similar approaches are being developed to incorporate information to other types of genomics and proteomics databases.
Keywords :
biology computing; computer graphics; data mining; genetics; genomics; proteomics; visual databases; Gene Graphics Into Function; Gene Reference Into Function; GeneRIF; NCBI databases; Web 2.0 technology; gene database; genomics database; proteomics database; visual annotation; visual presentation; Computational Biology; Computer Graphics; Database Management Systems; Databases, Genetic; Genome; Genomics; Humans; Information Storage and Retrieval; Natural Language Processing; Proteome; Proteomics; Software; User-Computer Interface; Vocabulary, Controlled;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333931
Filename :
5333931
Link To Document :
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