TFHAZ

DOI:10.18129 / B9.bioc.TFHAZ

这是发展TFHAZ版本;稳定的发布版本,请参阅TFHAZ。

转录因子高积累区

Bioconductor版本:发展(3.17)

它发现trascription因子(TF)高积累的DNA区域,即。,regions along the genome where there is a high presence of different transcription factors. Starting from a dataset containing the genomic positions of TF binding regions, for each base of the selected chromosome the accumulation of TFs is computed. Three different types of accumulation (TF, region and base accumulation) are available, together with the possibility of considering, in the single base accumulation computing, the TFs present not only in that single base, but also in its neighborhood, within a window of a given width. Two different methods for the search of TF high accumulation DNA zones, called "binding regions" and "overlaps", are available. In addition, some functions are provided in order to analyze, visualize and compare results obtained with different input parameters.

作者:阿尔贝托Marchesi,西尔维亚Cascianelli,马可Masseroli

维护人员:盖亚Ceddia <盖亚。在polimi.it ceddia >

安装

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(“TFHAZ”)

R的旧版本,请参考适当的Bioconductor释放。

文档

查看文档的版本这个包安装在您的系统,开始R和输入:

browseVignettes (“TFHAZ”)

HTML	R脚本	TFHAZ
PDF		参考手册

细节

biocViews	BiologicalQuestion,ChIPSeq,报道,软件,转录
版本	1.21.0
Bioconductor自	BioC 3.6 (r - 3.4)(5.5年)
许可证	艺术- 2.0
取决于	R (> = 3.5.0)
进口	GenomicRanges,S4VectorsgrDevices图形,统计,跑龙套,IRanges、方法、ORFik
链接
建议	BiocStyle,knitr,rmarkdown
SystemRequirements
增强了
URL
取决于我
进口我
建议我
我的链接
构建报告

包档案

遵循bob 体育网址 指示在R会话中使用这个包。

源包	TFHAZ_1.21.0.tar.gz
Windows二进制	TFHAZ_1.21.0.zip
macOS二进制(x86_64)	TFHAZ_1.21.0.tgz
macOS二进制(arm64)	TFHAZ_1.21.0.tgz
源库	git克隆https://git.bioconductor.org/packages/TFHAZ
源库(开发人员访问)	git克隆git@git.bioconductor.org:包/ TFHAZ
Bioc包浏览器	https://code.bioconductor.org/browse/TFHAZ/
包短Url	//www.anjoumacpherson.com/packages/TFHAZ/
包下载报告	下载数据