ModSaRa: A computationally efficient R package for CNV identification

Feifei Xiao, Yue Niu, Ning - Hao, Yanxun Xu, Zhilin Jin, Heping Zhang

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2384-2385
Number of pages2
JournalBioinformatics
Volume33
Issue number15
DOIs
StatePublished - Aug 1 2017

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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