Bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants.

What's Changed Made marginal foot-printing check stringent by checking for < 0.003 across all motifs Fixed Chrombpnet pipeline issue in generating pdf/html files for DNase Moved to using bedtools sort instead of unix sort Set counts loss weight to 1 for both chrombpnet and bias model when reads are low - should now accomodate low read data as well fixed typo bug in chrombpnet modisco run Testing low read run by @panushri25 in https://github.com/kundajelab/chrombpnet/pull/84 Full Changelog: https://github.com/kundajelab/chrombpnet/compare/v0.1.0...v0.1.1If you use this software, please cite it as below