DeepHiC is a GAN-based model for enhancing Hi-C data resolution. We developed this server for helping researchers to enhance their own low-resolution data by a few steps of clicks. Ab initio training could be performed according to our published code. We provided trained models for various depth of low-coverage sequencing Hi-C data. The depth of input data is estimated by its distribution comparing with those of the downsampled Hi-C data we used in training

Please enter the information below to run DeepHiC analysis.

Choose whether the data is RAW or KR-normalized

The ratio to 10-kb high-resolution data.

Email address you want the results sent to (Suggested).