Skip Navigation



Bioinformatics Advance Access published online on December 6, 2007
Bioinformatics, doi:10.1093/bioinformatics/btm605
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
24/3/430    most recent
btm605v1
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 Magni, P.
Right arrow Articles by Bellazzi, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Magni, P.
Right arrow Articles by Bellazzi, R.
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

TimeClust: a clustering tool for gene expression time series

Paolo Magni , Fulvia Ferrazzi , Lucia Sacchi and Riccardo Bellazzi

Dipartimento di Informatica e Sistemistica, Università degli Studi di Pavia, Via Ferrata 1, Pavia, Italy

To whom correspondence should be addressed. Dr. Paolo Magni, E-mail: paolo.magni{at}unipv.it


  Abstract

Summary: TimeClust is an user-friendly software package to cluster genes according to their temporal expression profiles. It can be conveniently used to analyze data obtained from DNA microarray time-course experiments. It implements two original algorithms expressed designed for clustering short time series together with hierarchical clustering and self-organizing maps.

Availability: TimeClust executable files for Windows and LINUX platforms can be downloaded free of charge for non-profit institutions from the following web site: http://aimed11.unipv.it/TimeClust.

Contact: for software support timeclust{at}aimed11.unipv.it.

Supplementary information: a simple user's guide (example.pdf) is available in the download area together with two trial data sets.

Associate Editor: Dr. Chris Stoeckert

Received on November 16, 2007; revised on November 16, 2007; accepted on November 30, 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.