Literature DB >> 22539667

CNVRuler: a copy number variation-based case-control association analysis tool.

Ji-Hong Kim1, Hae-Jin Hu, Seon-Hee Yim, Joon Seol Bae, Seon-Young Kim, Yeun-Jun Chung.   

Abstract

SUMMARY: The method for genome-wide association study (GWAS) based on copy number variation (CNV) is not as well established as that for single nucleotide polymorphism (SNP)-GWAS. Although there are several tools for CNV association studies, most of them do not provide appropriate definitions of CNV regions (CNVRs), which are essential for CNV-association studies. Here we present a user-friendly program called CNVRuler for CNV-association studies. Outputs from the 10 most common CNV defining algorithms can be directly used as input files for determining the three different definitions of CNVRs. Once CNVRs are defined, CNVRuler supports four kinds of statistical association tests and options for population stratification. CNVRuler is based on the open-source programs R and Java from Sun Microsystems. AVAILABILITY: CNVRuler software is available with an online manual at the website, www.ircgp.com/CNVRuler/index.html.

Mesh:

Year:  2012        PMID: 22539667     DOI: 10.1093/bioinformatics/bts239

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  31 in total

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Review 3.  -Omic and Electronic Health Record Big Data Analytics for Precision Medicine.

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8.  Effect of Combining Multiple CNV Defining Algorithms on the Reliability of CNV Calls from SNP Genotyping Data.

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9.  ParseCNV integrative copy number variation association software with quality tracking.

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10.  A Novel Computational Framework to Predict Disease-Related Copy Number Variations by Integrating Multiple Data Sources.

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