An all-statistics, high-speed algorithm for the analysis of copy number variation in genomes.

ABSTRACT: Detection of copy number variation (CNV) in DNA has recently become an important method for understanding the pathogenesis of cancer. While existing algorithms for extracting CNV from microarray data have worked reasonably well, the trend towards ever larger sample sizes and higher resolution microarrays has vastly increased the challenges they face. Here, we present Segmentation analysis of DNA (SAD), a clustering algorithm constructed with a strategy in which all operational decisions are based on simple and rigorous applications of statistical principles, measurement theory and precise mathematical relations. Compared with existing packages, SAD is simpler in formulation, more user friendly, much faster and less thirsty for memory, offers higher accuracy and supplies quantitative statis

SUBMITTER: Chen CH 

PROVIDER: S-EPMC3141250 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature