TimeClust: a clustering tool for gene expression time series

Paolo Magni; Fulvia Ferrazzi; Lucia Sacchi; Riccardo Bellazzi

doi:10.1093/bioinformatics/btm605

TimeClust: a clustering tool for gene expression time series

Bioinformatics. 2008 Feb 1;24(3):430-2. doi: 10.1093/bioinformatics/btm605. Epub 2007 Dec 6.

Authors

Paolo Magni¹, Fulvia Ferrazzi, Lucia Sacchi, Riccardo Bellazzi

Affiliation

¹ Dipartimento di Informatica e Sistemistica, Università degli Studi di Pavia, Via Ferrata 1, Pavia, Italy. paolo.magni@unipv.it

PMID: 18065427
DOI: 10.1093/bioinformatics/btm605

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence
Cluster Analysis*
Gene Expression Profiling / methods*
Multigene Family / physiology*
Oligonucleotide Array Sequence Analysis / methods*
Pattern Recognition, Automated / methods*
Software*
Time Factors