SCENIC 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: Introduction and setup, and running SCENIC.
The output from the examples is available at: http://scenic.aertslab.org/examples/
20/06/2018
- Added function
export2scope()(see http://scope.aertslab.org/).
01/06/2018
- Updated SCENIC pipeline to support the new version of RcisTarget and AUCell.
01/05/2018
- RcisTarget is now available in Bioconductor. The new databases can be downloaded from [https://resources.aertslab.org/cistarget/].
30/03/2018 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