Paul Datlinger, André F Rendeiro*, Christian Schmidl*, Thomas Krausgruber, Peter Traxler, Johanna Klughammer, Linda C Schuster, Amelie Kuchler, Donat Alpar, Christoph Bock. (2017) Nature Methods. doi:10.1038/nmeth.4177
*These authors contributed equally to this work
Paper: http://dx.doi.org/10.1038/nmeth.4177
Website: http://crop-seq.computational-epigenetics.org
This repository contains scripts used in the analysis of the data of the data presented in this paper. Future updates will be shared at https://github.com/epigen/crop-seq/.
On the paper website you can find the key results of the bioinformatic analysis.
Here are a few steps needed to reproduce it:
git clone git@github.com:epigen/crop-seq.git
) or download it from here: https://github.com/epigen/crop-seq/releases/tag/final_versionmake requirements
or pip install -r requirements.txt
If you wish to reproduce the processing of the raw data (all data have been deposited at GEO), run these steps:
make makeref
and adapt the pipeline configuration file to point to the created files.make preprocessing
or looper run metadata/config.yaml
To run the analysis, you can either use the output from reprocessed data (make analysis
) or download the gene expression matrices that include cell metadata (replicate, perturbed gene, gRNA assignments) from GEO with accession number GSE92872.