MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data

Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphisms, as well as gene expression profiles. Due to the differences in data types it is difficult to conduct parallel analysis of multiple datasets from diverse platforms. Results: To address this issue, we have developed an integrative genomic analysis platform MDSeeGH, a software tool that allows users to rapidly and directly analyze genomic datasets spanning multiple genomic experiments. With MD-SeeGH, users have the flexibility to easily update datasets in accordance with new genomic builds, make a quality assessment of data using the filtering features, and identify genetic alterations within single or across multiple experiments. Multiple sample analysis in MD-SeeGH all...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raymond T. Ng, Calum MacAulay, Wan L. Lam
• Keywords: BMCBI 2007, BMCBI 2008, Genomic, Genomic Profiling Methodologies, Global Genomic Profiling