Visual annotation of the gene database

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...

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Bibliographic Details
Published in2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2009; pp. 4175 - 4177
Main Authors Jing Wen, Xishu Wang, Kibbe, W., Lin, S., Hui Lu
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2009
Subjects
Bioinformatics
Computational Biology - instrumentation
Computational Biology - methods
Computer Graphics
Database Management Systems
Databases, Genetic
Frequency
Genome
Genomics
Genomics - methods
Graphics
HTML
Humans
Information Storage and Retrieval - methods
Natural Language Processing
Proteome
Proteomics
Proteomics - methods
Software
Space technology
Tag clouds
USA Councils
User-Computer Interface
Visual databases
Vocabulary, Controlled
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Summary: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.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2009.5333931