Visual annotation of the gene database.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Wen, J; Wang, X; Kibbe, W; Lin, S; Lu, H

Published Date

  • 2009

Published In

Volume / Issue

  • 2009 /

Start / End Page

  • 4175 - 4177

PubMed ID

  • 19964623

Pubmed Central ID

  • 19964623

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/IEMBS.2009.5333931

Language

  • eng

Conference Location

  • United States