SCENIC (Single-Cell rEgulatory Network Inference and Clustering) is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
For more details and installation instructions see the tutorials:
The output from the examples is available at: http://scenic.aertslab.org/examples/
Frequently asked questions: FAQ
Use pySCENIC for a lightning-fast python implementation of SCENIC.
- Added function
- Version bump to 1.0.
- Updated SCENIC pipeline to support the new version of RcisTarget and AUCell.
- RcisTarget is now available in Bioconductor.
- The new databases can be downloaded from https://resources.aertslab.org/cistarget/.
2018/03/30: New releases
- pySCENIC: lightning-fast python implementation of the SCENIC pipeline.
- Arboreto package including GRNBoost2 and scalable GENIE3:
- Easy to install Python library that supports distributed computing.
- It allows fast co-expression module inference (Step1) on large datasets, compatible with both, the R and python implementations of SCENIC.
- Drosophila databases for RcisTarget.