1. ScenicSCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
2. PyscenicpySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
3. arboretoA scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
4. AUCellAUCell: score single cells with gene regulatory networks
5. SCopeLoomRR package (compatible with SCope) to create generic .loom files and extend them with other data e.g.: SCENIC regulons, Seurat clusters and markers, ...
6. GENIE3GENIE3 (GEne Network Inference with Ensemble of trees) R-package
7. SCopeFast visualization tool for large-scale and high dimensional single-cell data
8. cisTopiccisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data