The final step in microarray analysis is to bring out the biological meaning implied by the differentially regulated gene clusters. This often involves tedious and time consuming collection, organization and mining of data from, literature, gene expression and other databases. Thus, time and effort becomes the bottle neck in realizing the full potential of a microarray data. We have developed a web based biologist friendly software called Biointerpreter for biological interpretation of microarray data. Biointerpreter significantly reduces the biological analysis time from weeks to hours. It addresses data collection, organization and mining bottle necks and help derive the biological significance quickly. It can be searched using a variety of gene identifiers including Agilent and Affymetrix probe Ids.

We present here a sample biological interpretation of the microarray data from the publication "Immune dysregulation and tumor-associated gene changes in recurrent respiratory papillomatosis: a paired microarray analysis" by James A DeVoti, et al in. Molecular Medicine. 2008 14(9-10): 608–617. We clearly show that biological significances reported by the authors and unreported could be derived readily using Biointerpreter. Biointerpreter is available for Human, Mouse, Drosophila, MTB, Rice and Arabidopsis. Similar online resources do not provide Gene expression data, curated literature references and phenotypic expression etc.

Web link: www.genotypic.co.in/biointerpreter.html