README.md
a7de87e5
 ![chromstaR](chromstaR_logo.png)
e0955ad1
 ================================
7b7c59d0
 [![bioc](http://www.bioconductor.org/shields/downloads/chromstaR.svg)](https://bioconductor.org/packages/stats/bioc/chromstaR/) 
 [![bioc](http://www.bioconductor.org/shields/years-in-bioc/chromstaR.svg)](http://bioconductor.org/packages/devel/bioc/html/chromstaR.html)
959fb682
 
2db2974b
 ChromstaR is a versatile ChIP-seq analysis suite with the following features:
ac2e4c29
 
 * Combinatorial chromatin state analysis
 * Differential chromatin state analysis
 * High-quality peak calls for broad and narrow marks
 * Export to genome browser
 * Enrichment analysis for arbitrary features
 * Expression analysis
 * Pretty plots
 
 ChromstaR is a powerful tool for any type of ChIP-seq analysis. For instance, you can use it to find bivalent promoters, poised enhancers etc. between two or more experimental conditions. It implements high-quality peak calling for broad and narrow marks and enables combinatorial and differential chromatin state analysis. It provides ready-to-use functions for any type of enrichment analysis and results can easily be assessed in a genome browser. The method is described [here](http://biorxiv.org/content/early/2016/02/04/038612) and a tutorial is available [here](https://github.com/ataudt/chromstaR/blob/master/vignettes/chromstaR.pdf).
959fb682
 
9e8f9104
 Please visit also the website at https://chromstar.org/.
6c2d0fa9
 
959fb682
 Installation
 ------------
 
3effb0b0
 ### Stable release version from Bioconductor
0859f66c
 To install the *current stable* version from Bioconductor, please visit http://bioconductor.org/packages/release/chromstaR/ and follow the provided instructions.
959fb682
 
 ### Development version from Github
 To install the *development* version from Github, follow the steps given below. The installation has only been tested on Ubuntu so far, if you need to install on Windows or Mac additional steps might be necessary (e.g. installation of Rtools from https://cran.r-project.org/bin/windows/Rtools/)
 
ae6bba7e
 1. Install a recent version of R (>=3.3.0) from https://www.r-project.org/
959fb682
 2. Optional: For ease of use, install Rstudio from https://www.rstudio.com/
 3. Open R and install all dependencies. Please ensure that you have writing permissions to install packages. Execute the following lines one by one:
 
    install.packages("devtools")  
2f502102
 	 if (!requireNamespace("BiocManager", quietly=TRUE))
     	 install.packages("BiocManager")
 	 BiocManager::install(c("GenomicRanges","GenomicAlignments","bamsignals"))  
959fb682
 	 library(devtools)  
 	 install_github("ataudt/chromstaRData")  
 	 install_github("ataudt/chromstaR")  
c7bc8f9f
 	 #### Or alternatively if the above line doesn't work:  
959fb682
 	 install_git("git://github.com/ataudt/chromstaRData.git", branch = "master")  
 	 install_git("git://github.com/ataudt/chromstaR.git", branch = "master")
 
96ea412f
 How to use chromstaR
 --------------------
 
2db2974b
 Please refer to the [vignette](https://github.com/ataudt/chromstaR/blob/master/vignettes/chromstaR.pdf) for tutorials on all chromstaR features.
48223b66
 
 Report Errors
 -------------
 
e1079a11
 If you encounter errors of any kind, please file an [issue here](https://github.com/ataudt/chromstaR/issues/new). I will try to react within three working days.