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MixHMM: inferring copy number variation and allelic imbalance using SNP arrays and tumor samples mixed with stromal cells.

PloS one | 2010

Genotyping platforms such as single nucleotide polymorphism (SNP) arrays are powerful tools to study genomic aberrations in cancer samples. Allele specific information from SNP arrays provides valuable information for interpreting copy number variation (CNV) and allelic imbalance including loss-of-heterozygosity (LOH) beyond that obtained from the total DNA signal available from array comparative genomic hybridization (aCGH) platforms. Several algorithms based on hidden Markov models (HMMs) have been designed to detect copy number changes and copy-neutral LOH making use of the allele information on SNP arrays. However heterogeneity in clinical samples, due to stromal contamination and somatic alterations, complicates analysis and interpretation of these data.

Pubmed ID: 20532221 RIS Download

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Associated grants

  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK072442
  • Agency: NIDDK NIH HHS, United States
    Id: DK072442

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American company incorporated that develops, manufactures and markets integrated systems for the analysis of genetic variation and biological function. Provides a line of products and services that serve the sequencing, genotyping and gene expression and proteomics markets. Its headquarters are located in San Diego, California.

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