Skip Navigation



Bioinformatics Advance Access published online on May 5, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm240
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow Supplementary data
Right arrow All Versions of this Article:
23/14/1834    most recent
btm240v1
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 Beaussart, F.
Right arrow Articles by Bornberg-Bauer, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Beaussart, F.
Right arrow Articles by Bornberg-Bauer, E.
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

Automated Improvement of Domain ANnotations using context analysis of Domain Arrangements (AIDAN)

Francois Beaussart , January Weiner, 3rd and Erich Bornberg-Bauer

Evolutionary Bioinformatics, Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Schlossplatz 4, D48149 Münster, Germany

To whom correspondence should be addressed. Prof. Erich Bornberg-Bauer, E-mail: ebb{at}uni-muenster.de


  Abstract

Motivation: Since protein domains are the units of evolution, databases of domain signatures such as ProDom or Pfam enable both a sensitive and selective sequence analysis. However, manually curated databases have a low coverage and automatically generated ones often miss relationships which have not yet been discovered between domains or cannot display similarities between domains which have drifted apart

Methods: We present a tool which makes use of the fact that overall domain arrangements are often conserved. AIDAN (Automated Improvement of Domain ANnotations) identifies potential annotation artifacts and domains which have drifted apart. The underlying database supplements ProDom and is interfaced by a graphical tool allowing the localization of single domain deletions or annotations which have been falsely made by the automated procedure.

Availability: http://www.uni-muenster.de/evolution/ebb/Services/AIDAN http://www.uni-muenster.de/Evolution.ebb/Publications/pdf_free/beaussartebb-aidan-bioinformatics-submitted-2006-supplementary-material.pdf

Associate Editor: Prof. Dmitrij Frishman

Received on December 8, 2006; revised on April 18, 2007; accepted on April 27, 2007

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
K. Forslund and E. L. L. Sonnhammer
Predicting protein function from domain content
Bioinformatics, August 1, 2008; 24(15): 1681 - 1687.
[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.