Array2BIO: from microarray expression data to functional annotation of co-regulated genes

Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of Affymetrix microarray expression data we have developed Array2BIO, an application that couples several analytical methods into a single web based utility. Results: Array2BIO converts raw intensities into probe expression values, automatically maps those to genes, and subsequently identifies groups of co-expressed genes using two complementary approaches: (1) comparative analysis of signal versus control and (2) clustering analysis of gene expression across different conditions. The identified genes are assigned to functional categories based on Gene Ontology classification and KEGG protein interaction pathways. Array2BIO reliably handles low-expressor genes and provides a set of statistical methods for quantifying expression levels, including Benjamini-Hochberg and Bonferroni multiple testing corrections. An a...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Gabriela G. Loots, Patrick S. G. Chain, Shalini Mabery, Amy Rasley, Emilio Garcia, Ivan Ovcharenko
• Keywords: Affymetrix Microarray Expression, Analysis, BMCBI 2006, Microarray Expression Data