Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC
TwinC is a Python package for training, inference, and interpretation of trans-3D genome folding in humans. TwinC uses a Convolutional Neural Network model that predicts contact between two trans genomic loci from nucleotide sequences. The model takes two 100 kbp nucleotide sequences as input and treats the task of predicting trans contacts as a classification task. To reproduce analyses performed in Jha et al. (2024), please check out TwinC 2024 manuscript repository.