这个包是版本3.14的Bioconductor;有关稳定的最新发布版本,请参见cn.mops.
Bioconductor版本:3.14
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 [aut], Gundula Povysil [cre]
维护者:Gundula Povysil < Povysil at bioinfo .jku.at>
引用(来自R,输入引用(“cn.mops”)
):
要安装这个包,启动R(版本"4.1")并输入:
如果(!require("BiocManager", quiet = TRUE)) install.packages("BiocManager")
对于旧版本的R,请参考相应的Bioconductor释放.
要查看系统中安装的此软件包版本的文档,启动R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 | 1.40.0 |
在Bioconductor中 | BioC 2.9 (R-2.14)(10.5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 |
这取决于我 | panelcn.mops |
进口我 | CopyNumberPlots |
建议我 | CNVgears |
链接到我 | |
构建报告 |
遵循2021年欧洲杯比分预测 在您的R会话中使用此包的说明。
源包 | cn.mops_1.40.0.tar.gz |
Windows二进制 | cn.mops_1.40.0.zip(32- & 64位) |
macOS 10.13 (High Sierra) | cn.mops_1.40.0.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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