Insilico microarray analysis for helicobacter pylori using gene expression data.

Helicobacter pylori is a Gram-negative, microaerophilic bacterium that inhibits various areas of the stomach and duodenum. It causes a chronic low-level inflammation of the stomach lining and is strongly linked to the development of duodenal and gastric ulcers and stomach cancer. To better understand adaptive mechanisms utilized by H.pylori within the context of the host environment, spotted-DNA microarrays was utilized to characterize in a temporal manner, the global changes in gene expression in response to low pH in the pathogenic H. pylori strain G27. Raw data of this microarray work was available in Stanford Microarray Database. Co-regulated genes may share similar expression profiles, may be involved in related functions or regulated by common regulatory elements. There are different approaches to analyse the large-scale gene expression data in which the essence is to identify gene clusters. This approach has allowed us to (i) determine expression profiles of previously described developmentally regulated genes, (ii) identify novel developmentally regulated genes. The Helicobacter pylori is an important human and veterinary pathogen. In this work raw data of Helicobacter pylori is used as a sample to find out the coexpressed gene.