cn.mops

DOI:10.18129 / B9.bioc.cn.mops

此包适用于Bioconductor的3.12版本;有关稳定的最新发布版本,请参见cn.mops

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

Bioconductor版本:3.12

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++.

作者:Guenter Klambauer

维护者:Gundula Povysil < Povysil at bioinfo .jku.at>

引用(从R中,输入引用(“cn.mops”)):

安装

要安装此包,启动R(版本“4.0”)并输入:

如果(!requireNamespace("BiocManager", quiet = TRUE)) install.packages("BiocManager")

对于较老版本的R,请参考相应的Bioconductor释放

文档

要查看系统中安装的此包版本的文档,请从R开始并输入:

browseVignettes(“cn.mops”)

PDF R脚本 cn.mops: Manual for the R package
PDF 参考手册

细节

biocViews CellBiologyCopyNumberVariation遗传学人类基因组单体型图Homo_sapiens测序软件
版本 1.36.0
在Bioconductor公司 BioC 2.9 (R-2.14)(9.5年)
许可证 LGPL (>= 2.0)
取决于 R(>= 2.12),方法,utils,统计,图形,并行,GenomicRanges
进口 BiocGenericsBiobaseIRangesRsamtoolsGenomeInfoDbS4VectorsexomeCopy
链接
建议 DNAcopy
SystemRequirements
增强了
URL http://www.bioinf.jku.at/software/cnmops/cnmops.html
全靠我 panelcn.mops
进口我 CopyNumberPlots
建议我
给我的链接
构建报告

包档案

遵循2021年欧洲杯比分预测 在R会话中使用这个包的说明。

源包 cn.mops_1.36.0.tar.gz
Windows二进制 cn.mops_1.36.0.zip(32- & 64位)
macOS 10.13 (High Sierra) cn.mops_1.36.0.tgz
源库 Git克隆https://git.bioconductor.org/packages/cn.mops
源存储库(开发人员访问) Git克隆git@git.bioconductor.org:packages/cn.mops
包短Url //www.andersvercelli.com/packages/cn.mops/
软件包下载报告 下载数据

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