footprint-tools: digital genomic footprint detection and analysis#
A Python package for de novo detection of genomic footprints from DNase I data.
De novo footprint detection
Consensus footprint detection (emperical Bayes)
API for programmatic access to cleavage data directly from sequence alignment files
Please note that is documentation is a work in progress. Please contact us with any questions.
As part of the ENCODE Consortium we have generated digital genomic footprinting data for >240 cell types and tissues. These data and their metadata are hosted at both http://vierstra.org/resources/dgf and ZENDODO.
Vierstra, J., Lazar, J., Sandstrom, R. et al. Global reference mapping of human transcription factor footprints. Nature 583, 729–736 (2020) https://doi.org/10.1101/2020.01.31.927798