Skip Navigation


Bioinformatics Advance Access originally published online on June 30, 2005
Bioinformatics 2005 21(17):3580-3581; doi:10.1093/bioinformatics/bti560
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/17/3580    most recent
bti560v1
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 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 arrow Search for citing articles in:
ISI Web of Science (1)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Yu, U.
Right arrow Articles by Kim, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Yu, U.
Right arrow Articles by Kim, S.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

TO-GO: a Java-based Gene Ontology navigation environment

Ungsik Yu 1,*, Yoon Jeong Choi 1, Jung Kyoon Choi 1 and Sangsoo Kim 2

1National Genome Information Center, KRIBB Oun 52, Yusong, Daejeon 305-333, Korea
2Department of Bioinformatics and Life Science, Soongsil University Seoul, Korea

*To whom correspondence should be addressed.

Summary: TO-GO is a Gene Ontology (GO) navigation tool, which is implemented as a Java application. After the initial data downloading, the GO term tree can be interactively navigated without further network transfer. Local annotation can be incorporated. It supports querying by GO terms or associated gene product information, displaying the result as a table or a sub-tree. The result from the search for a set of external database accessions includes the number of gene products associated with each node, inclusive of sub-nodes. Search results can be further processed by set operations and these set operations can be quite useful for expression profile data analysis. A copy/paste function is also implemented in order to facilitate data exchange between applications.

Availability: TO-GO is freely available at http://www.ngic.re.kr/togo/index.html

Contact: ungsik{at}kribb.re.kr

Received on August 3, 2004; revised on May 31, 2005; accepted on June 27, 2005

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




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.