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

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 without any hardware or software constraints. Results: An application able to perform the computation and the analysis of gene expression on large datasets has been developed using algorithms provided by dChip...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Luca Corradi, Marco Fato, Ivan Porro, Silvia Scaglione, Livia Torterolo
• Keywords: BMCBI 2008, Cluster Environments, Gene Expression, Large Datasets