Ontology highlight
ABSTRACT: Summary
Copy number variants (CNVs) contribute substantially to human genomic diversity, and development of accurate and efficient methods for CNV genotyping is a central problem in exploring human genotype-phenotype associations. SCIMMkit provides a robust, integrated implementation of three previously validated algorithms [SCIMM (SNP-Conditional Mixture Modeling), SCIMM-Search and SCOUT (SNP-Conditional OUTlier detection)] for targeted interrogation of CNVs using Illumina Infinium II and GoldenGate SNP assays. SCIMMkit is applicable to standardized genome-wide SNP arrays and customized multiplexed SNP panels, providing economy, efficiency and flexibility in experimental design.Availability
Source code and documentation are available for noncommercial use at http://droog.gs.washington.edu/scimmkit.
SUBMITTER: Zerr T
PROVIDER: S-EPMC2796813 | biostudies-literature | 2010 Jan
REPOSITORIES: biostudies-literature
Zerr Troy T Cooper Gregory M GM Eichler Evan E EE Nickerson Deborah A DA
Bioinformatics (Oxford, England) 20091021 1
<h4>Summary</h4>Copy number variants (CNVs) contribute substantially to human genomic diversity, and development of accurate and efficient methods for CNV genotyping is a central problem in exploring human genotype-phenotype associations. SCIMMkit provides a robust, integrated implementation of three previously validated algorithms [SCIMM (SNP-Conditional Mixture Modeling), SCIMM-Search and SCOUT (SNP-Conditional OUTlier detection)] for targeted interrogation of CNVs using Illumina Infinium II a ...[more]