Publication:
SNPExpress: Integrated Visualization of Genome-wide Genotypes, Copy Numbers and Gene Expression Levels

Thumbnail Image

Date

2008

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

BioMed Central
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Sanders, Mathijs A., Roel G. W. Verhaak, Wendy M. C. Geertsma-Kleinekoort, Saman Abbas, Sebastiaan Horsman, Peter J. van der Spek, Bob Löwenberg, and Peter J. M. Valk. 2008. SNPExpress: integrated visualization of genome-wide genotypes, copy numbers and gene expression levels. BMC Genomics 9: 41.

Research Data

Abstract

Background: Accurate analyses of comprehensive genome-wide SNP genotyping and gene expression data sets is challenging for many researchers. In fact, obtaining an integrated view of both large scale SNP genotyping and gene expression is currently complicated since only a limited number of appropriate software tools are available. Results: We present SNPExpress, a software tool to accurately analyze Affymetrix and Illumina SNP genotype calls, copy numbers, polymorphic copy number variations (CNVs) and Affymetrix gene expression in a combinatorial and efficient way. In addition, SNPExpress allows concurrent interpretation of these items with Hidden-Markov Model (HMM) inferred Loss-of-Heterozygosity (LOH)- and copy number regions. Conclusion: The combined analyses with the easily accessible software tool SNPExpress will not only facilitate the recognition of recurrent genetic lesions, but also the identification of critical pathogenic genes.

Description

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Referenced By

Related Stories