Vierstra digital genomic footprinting
- Status
- released
- Description
- footprint-tools is a python module for de novo detection of genomic footprints from DNase I data by simulating expected cleavage rates using a 6-mer DNase I cleavage preference model combined with density smoothing. Statistical significance of per-nucleotide cleavages are computed from a series emperically fit negative binomial distribution.
- Used for
- DNase-seq
Software versions
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| 0 |