Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○DOI references
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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
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
Metadata Files
README.md
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/)
- Install a recent version of R (>=3.3.0) from https://www.r-project.org/
- Optional: For ease of use, install Rstudio from https://www.rstudio.com/
- 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")
installgithub("ataudt/chromstaR")
#### Or alternatively if the above line doesn't work:
installgit("git://github.com/ataudt/chromstaRData.git", branch = "master")
installgit("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
- Website: howtolivebetter.org
- Repositories: 8
- Profile: https://github.com/ataudt
Coding enthusiast, chief technology officer, runner, foody, ...
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Committers
Last synced: almost 3 years ago
Top Committers
| Name | 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
- Homepage: https://github.com/ataudt/chromstaR
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/chromstaR/inst/doc/chromstaR.pdf
- License: Artistic-2.0
-
Latest release: 1.34.0
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- 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
