Skip Navigation


Bioinformatics Advance Access originally published online on February 21, 2008
Bioinformatics 2008 24(7):1026-1028; doi:10.1093/bioinformatics/btn068
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
24/7/1026    most recent
btn068v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Lee, B.
Right arrow Articles by Seo, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, B.
Right arrow Articles by Seo, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

GOTreePlus: an interactive gene ontology browser

Bongshin Lee 1, Kristy Brown 2, Yetrib Hathout 2 and Jinwook Seo 2,*

1Microsoft Research, One Microsoft Way, Redmond, WA 98052 and 2Children's National Medical Center, 111 Michigan Ave, NW, Washington, DC 20010, USA

*To whom correspondence should be addressed.


   Abstract

Summary: We developed an interactive gene ontology (GO) browser named GOTreePlus that superimposes annotation information over GO structures. It can facilitate the identification of important GO terms through interactive visualization of them in the GO structure. The interactive pie chart summarizing an annotation distribution for a selected GO term provides users with a succinct context-sensitive overview of their experimental results. We tested our GOTreePlus using a proteome profiling dataset obtained on differentiation of retinal pigment epithelial cells where 399 proteins were quantified.

Availability: http://bioinformatics.cnmcresearch.org/GOTreePlus/

Contact: jseo{at}cnmcresearch.org

Associate Editor: John Quackenbush


Received on December 13, 2007; revised on January 13, 2008; accepted on February 17, 2008

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
C. Herrmann, S. Berard, and L. Tichit
SimCT: a generic tool to visualize ontology-based relationships for biological objects
Bioinformatics, December 1, 2009; 25(23): 3197 - 3198.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.