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SNPExpress: integrated visualization of genome-wide genotypes, copy numbers and gene expression levels

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 appropriat...

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Detalles Bibliográficos
Autores principales: Sanders, Mathijs A, Verhaak, Roel GW, Geertsma-Kleinekoort, Wendy MC, Abbas, Saman, Horsman, Sebastiaan, van der Spek, Peter J, Löwenberg, Bob, Valk, Peter JM
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2235842/
https://www.ncbi.nlm.nih.gov/pubmed/18221515
http://dx.doi.org/10.1186/1471-2164-9-41
Descripción
Sumario: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.