modSaRa
Computational Tool
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General Information
DescriptionA computationally efficient R package for CNV identification
Homepagehttp://c2s2.yale.edu/software/modSaRa
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modSaRa: a computationally efficient R package for CNV identification
Feifei Xiao; Yue Niu; Ning Hao; Yanxun Xu; Zhilin Jin; Heping Zhang
Summary: Chromosomal copy number variation (CNV) refers to a polymorphism that a DNA segment presents deletion or duplication in the population. The computational algorithms developed to identify this type of variation are usually of high computational complexity. Here we present a user-friendly R package, modSaRa, designed to perform copy number variants identification. The package is developed based on a change-point based method with optimal computational complexity and desirable accuracy. The current version of modSaRa package is a comprehensive tool with integration of preprocessing steps and main CNV calling steps.
Availability and Implementation: modSaRa is an R package written in R, C ++ and Rcpp and is now freely available for download at http://c2s2.yale.edu/software/modSaRa.
Contact: heping.zhang@yale.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
DOI: https://doi.org/10.1093/bioinformatics/btx212
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