Predicting regulatory DNA elements based on epigenomic signatures
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Updated
Jun 26, 2024 - Python
Predicting regulatory DNA elements based on epigenomic signatures
Evaluation framework for computationally inferred gene networks from single-cell data.
Identify transcription factor-enhancer/promoter-gene network from run-on sequencing data
Integrated workflow to predict super-enhancers and compute feature importance
An R package designed to integrate and visualize various levels of epigenomic information, including but not limited to: ChIP, Histone, ATAC, and RNA sequencing. epiRomics is also designed to identify enhancer and enhanceosome regions from these data.
ONCOgenic Regulatory Element discovery
Differential peak analysis, genomic sequences associated with distinct experimental conditions
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