cn.mops

DOI: 10.18129/B9.bioc.cn.mops    

cn.mops - Mixture of Poissons for CNV detection in NGS data

Bioconductor version: Release (3.6)

cn.mops (Copy Number estimation by a Mixture Of PoissonS) is a data processing pipeline for copy number variations and aberrations (CNVs and CNAs) from next generation sequencing (NGS) data. The package supplies functions to convert BAM files into read count matrices or genomic ranges objects, which are the input objects for cn.mops. cn.mops models the depths of coverage across samples at each genomic position. Therefore, it does not suffer from read count biases along chromosomes. Using a Bayesian approach, cn.mops decomposes read variations across samples into integer copy numbers and noise by its mixture components and Poisson distributions, respectively. cn.mops guarantees a low FDR because wrong detections are indicated by high noise and filtered out. cn.mops is very fast and written in C++.

Author: Guenter Klambauer

Maintainer: Guenter Klambauer <cn.mops at bioinf.jku.at>

Citation (from within R, enter citation("cn.mops")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cn.mops")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cn.mops")

 

PDF R Script cn.mops: Manual for the R package
PDF   Reference Manual

Details

biocViews CellBiology, CopyNumberVariation, Genetics, HapMap, Homo_sapiens, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 2.9 (R-2.14) (6.5 years)
License LGPL (>= 2.0)
Depends R (>= 2.12), methods, utils, stats, graphics, parallel, GenomicRanges
Imports BiocGenerics, Biobase, IRanges, Rsamtools, GenomeInfoDb, S4Vectors, exomeCopy
LinkingTo
Suggests DNAcopy
SystemRequirements
Enhances
URL http://www.bioinf.jku.at/software/cnmops/cnmops.html
Depends On Me panelcn.mops
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cn.mops_1.24.0.tar.gz
Windows Binary cn.mops_1.24.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) cn.mops_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cn.mops
Package Short Url http://bioconductor.org/packages/cn.mops/
Package Downloads Report Download Stats

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