The predictions for 352 ENCODE biosamples can be found on https://t.co/9lub3k4EFr, and the
model is available at: https://t.co/Dj87pNwiOL
All benchmarking pipelines are available on github:
- https://t.co/XFYg7EvJlx
- https://t.co/7Z1wSc1Toa
- https://t.co/DrAZs7AZLQ
15/n
@vedranfranke Here we either use cell-type specific Hi-C (ENCODE-Hi-C) or average Hi-C contact frequency across ~35 cell types.
Would be exciting to benchmark other ways to estimate 3D contact.
This has been a wonderful community effort involving countless people from the @ENCODE_NIH consortium and beyond. I would like to thank everybody I had the pleasure to work with during this long and exciting journey!
17/17
Summary: We present a new approach to map genome-wide enhancer-gene regulatory interactions, show how to link variants to genes, and interpret the model to learn about enhancer regulation. Our framework provides a resource for building future, increasingly accurate models.
16/n