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PMID: 16176576 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

EXPANDER--an integrative program suite for microarray data analysis.

BMC bioinformatics ·Vol. 6 ·2005-09-21 ·Pages 232

Shamir R, Maron-Katz A, Tanay A, Linhart C, Steinfeld I, Sharan R, Shiloh Y, Elkon R

Abstract

Gene expression microarrays are a prominent experimental tool in functional genomics which has opened the opportunity for gaining global, systems-level understanding of transcriptional networks. Experiments that apply this technology typically generate overwhelming volumes of data, unprecedented in biological research. Therefore the task of mining meaningful biological knowledge out of the raw data is a major challenge in bioinformatics. Of special need are integrative packages that provide biologist users with advanced but yet easy to use, set of algorithms, together covering the whole range of steps in microarray data analysis. Here we present the EXPANDER 2.0 (EXPression ANalyzer and DisplayER) software package. EXPANDER 2.0 is an integrative package for the analysis of gene expression data, designed as a 'one-stop shop' tool that implements various data analysis algorithms ranging from the initial steps of normalization and filtering, through clustering and biclustering, to high-level functional enrichment analysis that points to biological processes that are active in the examined conditions, and to promoter cis-regulatory elements analysis that elucidates transcription factors that control the observed transcriptional response. EXPANDER is available with pre-compiled functional Gene Ontology (GO) and promoter sequence-derived data files for yeast, worm, fly, rat, mouse and human, supporting high-level analysis applied to data obtained from these six organisms. EXPANDER integrated capabilities and its built-in support of multiple organisms make it a very powerful tool for analysis of microarray data. The package is freely available for academic users at http://www.cs.tau.ac.il/~rshamir/expander.

MeSH Terms
Algorithms Cluster Analysis Data Interpretation, Statistical Oligonucleotide Array Sequence Analysis/instrumentation,methods Software
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Shamir Ron
School of Computer Science, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel. rshamir@tau.ac.il
Maron-Katz Adi
Tanay Amos
Linhart Chaim
Steinfeld Israel
Sharan Roded
Shiloh Yosef
Elkon Ran
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2005-09-21
Epub
2005-00-21
Pages
232
Language
English
Region
England
NLM ID
100965194
PMCID
PMC1261157
Subset
IM
Analysis Services
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