Skip Navigation



Bioinformatics Advance Access published online on July 27, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm376
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
23/19/2643    most recent
btm376v1
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 Seelow, D.
Right arrow Articles by Lindner, T. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Seelow, D.
Right arrow Articles by Lindner, T. H.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

AssociationDB: Web-based exploration of genomic association

Dominik Seelow 1,*, Katrin Hoffmann 1,2 and Tom H. Lindner 3

1 Institute for Medical Genetics, Charité – Universitätsmedizin Berlin, Augustenburger Platz 1, D-13353 Berlin, Germany,
2 Max Planck Institute for Molecular Genetics, Ihnestr. 73, D-14195 Berlin, Germany
3 Department of Nephrology and Hypertension, Medical Clinic 4, University of Erlangen-Nuremberg, Breslauer Str, 201, D-90471 Nürnberg, Germany

*To whom correspondence should be addressed. Mr. Dominik Seelow, E-mail: dominik.seelow{at}web.de


  Abstract

Motivation: Genome-wide association studies use hundreds of thousands of markers making it challenging to present and finally interpret the results. We developed a graphical, web-based solution for an interactive exploration of the results of case-control studies, with a tight integration of related gene information and tissue-specific expression data. Association results are presented as physical position-based vertical bars with known genes included as horizontal bars at their respective physical positions. The interface allows the specification of filtering criteria for the association data and highlights potentially interesting genes with user-specified terms occurring in their reports or with relevant expression patterns. Pop-up windows and hyperlinks provide drill-down capabilities and quick access to relevant data AssociationDB can either be used as a standalone solution or as a front-end joining association results obtained by other software with genomic information.

Availability: http://genetik.charite.de/AssociationDB

Contact: dominik.seelow{at}charite.de

Supplementary information: The source code, a web-based demo, a step-by-step manual, and an installation guide are available at http://genetik.charite.de/AssociationDB.

Associate Editor: Dr. Alex Bateman

Received on December 11, 2006; revised on May 31, 2007; accepted on July 14, 2007

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.