(DE Novo motIf diScovery pipeline) is a pipeline constructing binding motifs for unknown transcription factors from ATAC-seq data
Here we present DENIS, an python based pipeline providing functionality to predict de novo motifs based on TF footprints derived from ATAC and SC ATAC data.
You can access the preprint at bioRxiv. More information about TF-COMB is available here. The package is available at GitHub.