这是发展cn.mops版本;稳定的发布版本,请参阅cn.mops。
Bioconductor版本:发展(3.17)
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:京特·Klambauer (aut) Gundula Povysil (cre)
维护人员:Gundula Povysil < Povysil在bioinf.jku.at >
从内部引用(R,回车引用(“cn.mops”)
):
安装这个包,开始R(版本“4.3”)并输入:
如果(!要求(“BiocManager”,悄悄地= TRUE)) install.packages (BiocManager) #以下初始化使用Bioc猛击BiocManager::安装(version =“重击”)BiocManager::安装(“cn.mops”)
R的旧版本,请参考适当的Bioconductor释放。
查看文档的版本这个包安装在您的系统,开始R和输入:
browseVignettes (“cn.mops”)
R脚本 | cn.mops: Manual for the R package | |
参考手册 |
biocViews | CellBiology,CopyNumberVariation,遗传学,人类基因组单体型图,Homo_sapiens,测序,软件 |
版本 | 1.45.0 |
Bioconductor自 | BioC 2.9 (r - 2.14)(11年) |
许可证 | LGPL (> = 2.0) |
取决于 | R(> = 3.5.0)、方法、效用,数据,图形,平行,GenomicRanges |
进口 | BiocGenerics,Biobase,IRanges,Rsamtools,GenomeInfoDb,S4Vectors,exomeCopy |
链接 | |
建议 | DNAcopy |
SystemRequirements | |
增强了 | |
URL | http://www.bioinf.jku.at/software/cnmops/cnmops.html |
取决于我 | panelcn.mops |
进口我 | CopyNumberPlots |
建议我 | CNVgears |
我的链接 | |
构建报告 |
遵循bob 体育网址 指示在R会话中使用这个包。
源包 | cn.mops_1.45.0.tar.gz |
Windows二进制 | cn.mops_1.45.0.zip |
macOS二进制(x86_64) | cn.mops_1.45.0.tgz |
macOS二进制(arm64) | cn.mops_1.45.0.tgz |
源库 | git克隆https://git.bioconductor.org/packages/cn.mops |
源库(开发人员访问) | git克隆git@git.bioconductor.org:包/ cn.mops |
Bioc包浏览器 | https://code.bioconductor.org/browse/cn.mops/ |
包短Url | //www.anjoumacpherson.com/packages/cn.mops/ |
包下载报告 | 下载数据 |