Integrated workflow to predict super-enhancers and compute feature importance
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Updated
Mar 14, 2018 - Python
Integrated workflow to predict super-enhancers and compute feature importance
An integrative toolkit for detecting cell type-specific regulators
Analysis and retrieval of Regulatory EleMents (REMs) linked to genes
A powerful abstraction of gene databases
Code and data used by the JASPAR profile inference tool
Code and data used to create the JASPAR UCSC Genome Browser tracks data hub
pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs
Predict small molecule-mediated regulatory effects on miRNA expression
Co-accessibility network from single-cell ATAC-seq data. Python code with AnnData, based on Cicero algorithm.
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