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README.md
<div align="center"> # geneXtendeR <img src="https://cloud.githubusercontent.com/assets/9893806/16898879/d14647c6-4bba-11e6-93d5-90bc802ac8e9.png"> ##### R/Bioconductor package for optimized functional annotation of ChIP-seq data [![Travis-CI Build Status](https://travis-ci.org/Bohdan-Khomtchouk/geneXtendeR.svg?branch=master)](https://travis-ci.org/Bohdan-Khomtchouk/geneXtendeR) [![AUR](https://img.shields.io/aur/license/yaourt.svg?maxAge=2592000)]() [![Bioconductor Time](http://bioconductor.org/shields/years-in-bioc/geneXtendeR.svg)](http://bioconductor.org/packages/release/bioc/html/geneXtendeR.html "Bioconductor status") [![Bioconductor Downloads](http://bioconductor.org/shields/downloads/geneXtendeR.svg)](http://bioconductor.org/packages/stats/bioc/geneXtendeR.html "Percentile downloads") [![Bioconductor Commits](http://bioconductor.org/shields/commits/bioc/geneXtendeR.svg)](http://bioconductor.org/packages/release/bioc/html/geneXtendeR.html#svn_source "svn commits") [![Support posts](http://bioconductor.org/shields/posts/geneXtendeR.svg)](https://support.bioconductor.org/t/geneXtendeR/ "Bioconductor support posts") </div> `geneXtendeR` optimizes the functional annotation of ChIP-seq peaks using fast iterative peak-coordinate/GTF alignment algorithms. Since different ChIP-seq peak callers produce different differentially enriched peaks with a large variance in peak length distribution and total peak count, annotating peak lists with their nearest genes can be a noisy process. As such, the goal of `geneXtendeR` is to robustly link differentially enriched peaks with their respective genes, thereby aiding experimental follow-up and validation in designing primers for a set of prospective gene candidates during qPCR. ### Landing page `geneXtendeR` can be found at: https://bioconductor.org/packages/geneXtendeR/. This URL will redirect to the release landing page of the package and is the URL that should be used (in publications, etc.) to refer to `geneXtendeR`. You can also refer specifically to the development, release, or specific numbered version of Bioconductor: https://bioconductor.org/packages/devel/geneXtendeR/ https://bioconductor.org/packages/release/geneXtendeR/ https://bioconductor.org/packages/3.6/geneXtendeR/ ### Vignette Please read the `geneXtendeR` documentation (`geneXtendeR.pdf` found in the `/vignettes` directory), which includes software workflows and comprehensive analyses to get you started. ### Github installation instructions You can install the current GitHub version using the [devtools](https://github.com/hadley/devtools) package: ```R if (!require("devtools")) install.packages("devtools") devtools::install_github("Bohdan-Khomtchouk/geneXtendeR") ``` And then load the package: ```R library(geneXtendeR) ``` ### Bioconductor installation instructions ```R ## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("geneXtendeR") ``` After installation, you should always update to the latest available version of `geneXtendeR` by typing `biocLite()`: ```R ## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite() ## R version 3.0 or later ``` ### Citation If you are using `geneXtendeR` in your work, please cite the paper (http://dx.doi.org/10.1101/082347) accordingly.