1. DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
5. phantompeakqualtoolsThis package computes informative enrichment and quality measures for ChIP-seq/DNase-seq/FAIRE-seq/MNase-seq data. It can also be used to obtain robust estimates of the predominant fragment length or characteristic tag shift values in these assays.
6. genomediscoSoftware for comparing contact maps from HiC, CaptureC and other 3D genome data.
7. bpnetToolkit to train base-resolution deep neural networks on functional genomics data and to interpret them
8. dfimDeep Feature Interaction Maps (DFIM)
9. coessentialityCompanion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)
10. genomelakeSimple and efficient access to genomic data for deep learning models.
11. simdnaA python library for creating simulated regulatory DNA sequences