Skip Navigation



Bioinformatics Advance Access published online on April 3, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn119
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
24/10/1305    most recent
btn119v1
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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Albert, I.
Right arrow Articles by Pugh, B. F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Albert, I.
Right arrow Articles by Pugh, B. F.
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

GeneTrack – a genomic data processing and visualization framework

Istvan Albert 1,2,*, Shinichiro Wachi 2, Cizhong Jiang 2 and B. Franklin Pugh 2

1Huck Institutes of the Life Sciences, 2Center for Comparative Genomics and Bioinformatics, Center for Gene Regulation, and Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania, 16802, USA

*To whom correspondence should be addressed. Dr. Istvan Albert, E-mail: iual{at}psu.edu


  Abstract

Motivation: High-throughput ‘ChIP-chip’ and ‘ChIP-seq’ methodologies generate sufficiently large data sets that analysis poses significant informatics challenges, particularly for research groups with modest computational support. To address this challenge, we devised a software platform for storing, analyzing and visualizing high resolution genome-wide binding data. GeneTrack automates several steps of a typical data processing pipeline, including smoothing and peak detection, and facilitates dissemination of the results via the web. Our software is freely available via the Google Project Hosting environment at http://genetrack.googlecode.com

Associate Editor: Prof. Alfonso Valencia

Received on February 13, 2008; revised on March 27, 2008; accepted on March 31, 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
R. T. Morris, T. R. O'Connor, and J. J. Wyrick
Ceres: software for the integrated analysis of transcription factor binding sites and nucleosome positions in Saccharomyces cerevisiae
Bioinformatics, January 15, 2010; 26(2): 168 - 174.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
C. Zang, D. E. Schones, C. Zeng, K. Cui, K. Zhao, and W. Peng
A clustering approach for identification of enriched domains from histone modification ChIP-Seq data
Bioinformatics, August 1, 2009; 25(15): 1952 - 1958.
[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.