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Bioinformatics Advance Access originally published online on December 6, 2007
Bioinformatics 2008 24(3):430-432; doi:10.1093/bioinformatics/btm605
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© 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.


  Abstract

Summary: TimeClust is a 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 specifically 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: paolo.magni{at}unipv.it or 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: Chris Stoeckert

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

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