Bioconductor版本:版本(3.6)
包开发分析affinity-based epitranscriptome shortgun测序数据从MeRIP-seq (maA-seq)。它的基础是建立在exomePeak MATLAB软件包(孟、贾、et al。“Exome-based分析RNA表观基因组测序数据。”Bioinformatics 29.12 (2013): 1565-1567.) with new functions for differential analysis of two experimental conditions to unveil the dynamics in post-transcriptional regulation of the RNA methylome. The exomePeak R-package accepts and statistically supports multiple biological replicates, internally removes PCR artifacts and multi-mapping reads, outputs exome-based binding sites (RNA methylation sites) and detects differential post-transcriptional RNA modification sites between two experimental conditions in term of percentage rather the absolute amount. The package is still under active development, and we welcome all biology and computation scientist for all kinds of collaborations and communications. Please feel free to contact Dr. Jia Meng
作者:林张<林。张在cumt.edu.cn >,连刘在163. com > < liulian19860905,贾孟<贾。孟xjtlu.edu.cn >
维护人员:林张<林。张在cumt.edu.cn >,连刘在163. com > < liulian19860905,贾孟<贾。孟xjtlu.edu.cn >
从内部引用(R,回车引用(“exomePeak”)):
安装这个包,开始R和输入:
# #试试http://如果https:// url不支持源(“//www.andersvercelli.com/biocLite.R”) biocLite (“exomePeak”)
查看文档的版本这个包安装在您的系统,开始R和输入:
browseVignettes (“exomePeak”)
| R脚本 | 介绍exomePeak | |
| 参考手册 | ||
| 文本 | 新闻 |
| biocViews | HighThroughputSequencing,Methylseq,RNAseq,测序,软件 |
| 版本 | 2.13.2 |
| Bioconductor自 | BioC 2.13 (r - 3.0)(4.5年) |
| 许可证 | GPL-2 |
| 取决于 | Rsamtools,GenomicFeatures(> = 1.14.5),rtracklayer,GenomicAlignments |
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| 构建报告 |
遵循2021年欧洲杯比分预测 指示在R会话中使用这个包。
| 源包 | exomePeak_2.13.2.tar.gz |
| Windows二进制 | exomePeak_2.13.2.zip |
| Mac OS X 10.11(埃尔卡皮坦) | exomePeak_2.13.2.tgz |
| 源库 | git克隆https://git.bioconductor.org/packages/exomePeak |
| 包短Url | //www.andersvercelli.com/packages/exomePeak/ |
| 包下载报告 | 下载数据 |
| 老BioC 3.6源码包 | 源存档 |