CNVineta is a flexible data mining tool for the analysis of copy number variations (CNVs) in large case-control SNP array data sets. The tool is available as an R statistical package. CNVineta offers a flexible and fast access to CNVs by a quick graphical overview in large case-control datasets. In addition, CNVineta provides rapid access to the log2 of raw data ratios (LRR) and B-allele frequencies (BAF) of specific or all samples, thereby allowing for a fast verification of the underlying raw data. CNVineta is also equipped with analysis methods for genome-wide screening for associated rare as well as common CNVs. Hence, CNVineta is a unique data mining tool to rapidly explore CNVs in large case-control data sets.
- R Package
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Bioinformatics. 2010 Sep 1;26(17):2208-9. Epub 2010 Jul 6.
CNVineta: a data mining tool for large case-control copy number variation datasets.
Wittig M, Helbig I, Schreiber S, Franke A.