安装这个包,开始R和输入:
# #试试http://如果https:// url不支持源(“//www.anjoumacpherson.com/biocLite.R”) biocLite (“cn.mops”)
在大多数情况下,您不需要下载包存档。
这个包是2.10版本Bioconductor;的稳定,最新的发布版本,请参阅cn.mops。
Bioconductor版本:2.10
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
维护人员:京特·Klambauer < cn。拖把在bioinf.jku.at >
从内部引用(R,回车引用(“cn.mops”)
):
安装这个包,开始R和输入:
# #试试http://如果https:// url不支持源(“//www.anjoumacpherson.com/biocLite.R”) biocLite (“cn.mops”)
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”)
cn.mops: Manual for the R package | ||
参考手册 |
biocViews | 生物信息学,CopyNumberVariants,HighThroughputSequencing,测序,软件 |
版本 | 1.2.6 |
Bioconductor自 | BioC 2.9 (r - 2.14)(4.5年) |
许可证 | LGPL (> = 2.0) |
取决于 | R (> = 2.14),BiocGenerics(> = 0.1.0),Biobase,IRanges,GenomicRanges(> = 1.7.8) |
进口 | 方法、图形BiocGenerics,IRanges,Rsamtools |
链接 | |
建议 | 雪,DNAcopy |
SystemRequirements | |
增强了 | |
URL | http://www.bioinf.jku.at/software/cnmops/cnmops.html |
取决于我 | |
进口我 | |
建议我 | |
构建报告 |
遵循bob 体育网址 指示在R会话中使用这个包。
包的来源 | cn.mops_1.2.6.tar.gz |
Windows二进制 | cn.mops_1.2.6.zip(32位和64位) |
Mac OS X 10.6 (Snow Leopard) | |
Subversion源 | (用户名/密码:只读的) |
Git源代码 | https://github.com/bioconductor - mirror/cn.mops/tree/release - 2.10 |
包短Url | //www.anjoumacpherson.com/packages/cn.mops/ |
包下载报告 | 下载数据 |