CorrelaGenes: a new tool for the interpretation of the human transcriptome.

ABSTRACT:

Background

The amount of gene expression data available in public repositories has grown exponentially in the last years, now requiring new data mining tools to transform them in information easily accessible to biologists.

Results

By exploiting expression data publicly available in the Gene Expression Omnibus (GEO) database, we developed a new bioinformatics tool aimed at the identification of genes whose expression appeared simultaneously altered in different experimental conditions, thus suggesting co-regulation or coordinated action in the same biological process. To accomplish this task, we used the 978 human GEO Curated DataSets and we manually performed the selection of 2,109 pair-wise comparisons based on their biological rationale. The lists of differentially expres

SUBMITTER: Cremaschi P 

PROVIDER: S-EPMC4016313 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature