chromstaR

Combinatorial and differential ChIP-seq analysis in R

https://github.com/ataudt/chromstar

Science Score: 10.0%

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  • Academic publication links
    Links to: biorxiv.org
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  • Scientific vocabulary similarity
    Low similarity (13.4%) to scientific vocabulary

Keywords from Contributors

bioconductor-package gene transcriptome genomics microbiome differential-expression proteomics rna-seq rna-seq-analysis scrna-seq
Last synced: 11 months ago · JSON representation

Repository

Combinatorial and differential ChIP-seq analysis in R

Basic Info
  • Host: GitHub
  • Owner: ataudt
  • Language: R
  • Default Branch: master
  • Size: 76.6 MB
Statistics
  • Stars: 8
  • Watchers: 4
  • Forks: 3
  • Open Issues: 3
  • Releases: 0
Created over 10 years ago · Last pushed over 4 years ago
Metadata Files
Readme

README.md

chromstaR

bioc bioc

ChromstaR is a versatile ChIP-seq analysis suite with the following features:

  • 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 and a tutorial is available here.

Please visit also the website at https://chromstar.org/.

Installation

Stable release version from Bioconductor

To install the current stable version from Bioconductor, please visit http://bioconductor.org/packages/release/chromstaR/ and follow the provided instructions.

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/)

  1. Install a recent version of R (>=3.3.0) from https://www.r-project.org/
  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")
if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install(c("GenomicRanges","GenomicAlignments","bamsignals"))
library(devtools)
installgithub("ataudt/chromstaRData")
install
github("ataudt/chromstaR")
#### Or alternatively if the above line doesn't work:
installgit("git://github.com/ataudt/chromstaRData.git", branch = "master")
install
git("git://github.com/ataudt/chromstaR.git", branch = "master")

How to use chromstaR

Please refer to the vignette for tutorials on all chromstaR features.

Report Errors

If you encounter errors of any kind, please file an issue here. I will try to react within three working days.

Owner

  • Name: Aaron
  • Login: ataudt
  • Kind: user

Coding enthusiast, chief technology officer, runner, foody, ...

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Last synced: almost 3 years ago

All Time
  • Total Commits: 495
  • Total Committers: 15
  • Avg Commits per committer: 33.0
  • Development Distribution Score (DDS): 0.176
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
chakalakka a****t@u****l 408
ataudt a****t@g****m 49
Nitesh Turaga n****a@g****m 12
Herve Pages h****s@f****g 5
David Widmann d****t@d****e 4
mschubert m****v@g****m 4
Hervé Pagès h****s@f****g 3
vobencha v****n@r****g 2
vobencha v****a@g****m 2
Akshaya Ramakrishnan a****a@A****l 1
Hervé Pagès h****b@g****m 1
Martin Morgan m****n@f****g 1
Kayla-Morrell k****l@r****g 1
ICB Aaron Taudt a****t@h****e 1
LiNk-NY m****9@g****m 1
Committer Domains (Top 20 + Academic)

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 19,351 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
bioconductor.org: chromstaR

Combinatorial and Differential Chromatin State Analysis for ChIP-Seq Data

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 19,351 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 17.5%
Downloads: 52.6%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • GenomicRanges * depends
  • R >= 3.3 depends
  • chromstaRData * depends
  • ggplot2 * depends
  • BiocGenerics >= 0.31.6 imports
  • GenomeInfoDb * imports
  • GenomicAlignments * imports
  • IRanges * imports
  • Rsamtools * imports
  • S4Vectors * imports
  • bamsignals * imports
  • doParallel * imports
  • foreach * imports
  • grDevices * imports
  • graphics * imports
  • methods * imports
  • mvtnorm * imports
  • reshape2 * imports
  • stats * imports
  • utils * imports
  • BiocStyle * suggests
  • biomaRt * suggests
  • knitr * suggests
  • testthat * suggests