A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data.

ABSTRACT:

Background

Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order to analyze microarray data. Two of the most known free analysis software packages are the R-based Bioconductor and dChip. The part of dChip software concerning the calculation and the analysis of gene expression has been modified to permit its execution on both cluster environments (supercomputers) and Grid infrastructures (distributed computing).This work is not aimed at replacing existing tools, but it provides researchers with a method to analyze large datasets with

SUBMITTER: Corradi L 

PROVIDER: S-EPMC2596147 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature