Platform-independent, interactive and exploratory analysis, annotation and documentation of CRISPR screens
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Visit the Live Demo
If you have issues or problems PLEASE us the ISSUES page.
Attention: Due to the downtime of the community-server of biomaRt, caRpools 0.82.5 does not function properly. Use 0.83 that uses by default the Ensembl servers for data annotation.
Dear users, the latest CRAN version is not compatible with the virtual machine due to rJava issues. I am right now working on a new version without any java dependencies and will release it for alpha/beta testing via the releases channel. In case you are interested in beta testing the new caRpools version, please send me an email (jan.winter@dkfz.de) so that I know who is using it and provide further support. In general, the beta release will be avaible for everyone.
Once the manual and vignette is updated for the new, far advanced version, it will be released on CRAN.
CaRpools is an R package forexploratory data analysis of pooled CRISPR/Cas9 screens. It aims to provide a user-friendly pipeline for end-to-end analysis of screening data. As an output, it generates standardized PDF and HTML reports that include:
Users fill out a configuration file and caRpools runs a complete analysis workflow, including NGS data extraction and mapping.
The VirtualBox appliance can be downloaded from HERE
It provides you a ready-to-use virtual appliance, so that you do not need to install any additional R packages or tools.
You can download the R package either
install.packages("caRpools")
If you can't get RStudio to call system commands, you need to start Rstudio from command line.
In order to allow RStudio to start system commands, please start RStudio via the terminal by typing:
open -a rstudio
Jan Winter (jan.winter@dkfz.de) Web http://www.dkfz-heidelberg.de/en/signaling
Winter, J., Breinig, M., Heigwer, F., Brueggemann, D., Leible, S., Pelz, O., Zhan, T., Boutros, M. (2015) caRpools: An R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens. Bioinformatics