Unknown

Dataset Information

0

Targeted interrogation of copy number variation using SCIMMkit.


ABSTRACT: 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.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

altmetric image

Publications

Targeted interrogation of copy number variation using SCIMMkit.

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]

Similar Datasets

| S-EPMC7278034 | biostudies-literature
| S-EPMC3668900 | biostudies-other
| S-EPMC4227763 | biostudies-literature
| S-EPMC4021345 | biostudies-literature
| S-EPMC2553599 | biostudies-literature
| S-EPMC6479247 | biostudies-literature
| S-EPMC6563015 | biostudies-literature
| S-EPMC5909048 | biostudies-other
| S-EPMC5553737 | biostudies-other
| S-EPMC3317159 | biostudies-literature