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Bioinformatics Advance Access originally published online on March 7, 2007
Bioinformatics 2007 23(9):1170-1171; doi:10.1093/bioinformatics/btm079
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Analyzing microarray data using CLANS

Tancred Frickey and Georg Weiller *

ARC Centre of Excellence for Interactive Legume Research and Bioinformatics Laboratory, Genomic Interactions Group, Research School of Biological Sciences, Australian National University, GPO Box 475, Canberra, ACT 2601, Australia

*To whom correspondence should be addressed.


  Abstract

Summary: Analysis of microarray experiments is complicated by the huge amount of data involved. Searching for groups of co-expressed genes is akin to searching for protein families in a database as, in both cases, small subsets of genes with similar features are to be found within vast quantities of data. CLANS was originally developed to find protein families in large sets of amino acid sequences where the amount of data involved made phylogenetic approaches overly cumbersome. We present a number of improvements that greatly extend the previous version of CLANS and show its application to microarray data as well as its ability of incorporating additional information to facilitate interactive analysis.

Availability: The program is available for download from: http://bioinfoserver.rsbs.anu.edu.au/downloads/clans/

Contact: Georg.Weiller{at}anu.edu.au

Supplementary information: http://bioinfoserver.rsbs.anu.edu.au/programs/clans

Associate Editor: Thomas Lengauer

Received on October 23, 2006; revised on February 7, 2007; accepted on February 27, 2007

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