要安装这个包,开始R,然后输入:
##尝试http://如果https:// url不支持source("//www.anjoumacpherson.com/biocLite.R") biocLite("cn.mops")
在大多数情况下,您根本不需要下载包存档。
此包适用于Bioconductor的3.4版本;有关稳定的最新发布版本,请参见cn.mops.
Bioconductor版本:3.4
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:Guenter Klambauer
引用(从R中,输入引用(“cn.mops”)
):
要安装这个包,开始R,然后输入:
##尝试http://如果https:// url不支持source("//www.anjoumacpherson.com/biocLite.R") biocLite("cn.mops")
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”)
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 | 1.20.1 |
在Bioconductor公司 | BioC 2.9 (R-2.14)(5.5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 | 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 |
全靠我 | |
进口我 | |
建议我 | |
构建报告 |
遵循bob 体育网址 在R会话中使用这个包的说明。
包的来源 | cn.mops_1.20.1.tar.gz |
Windows二进制 | cn.mops_1.20.1.zip(32- & 64位) |
Mac OS X 10.9(小牛队) | cn.mops_1.20.1.tgz |
Subversion源 | (用户名/密码:只读的) |
Git源代码 | https://github.com/Bioconductor-mirror/cn.mops/tree/release-3.4 |
包短Url | //www.anjoumacpherson.com/packages/cn.mops/ |
软件包下载报告 | 下载数据 |