CELL TYPE-SPECIFIC PREDICTION OF 3D CHROMATIN ARCHITECTURE

Abstract: the present disclosure relates to technologies for predicting genomic features, such as 3d genomic folding, in a target cell. provided are methods for predicting genome structure and computer-implemented machines configured to predict genomic features. wherein predicting 3d genomic features includes a neural network model architecture integrating (1) nucleotide-level dna sequences, and (2) cell type-specific genomic features, wherein the cell type-specific genomic features comprise (i) genomic dna-binding protein binding profile information, and (ii) chromatin accessibility information.

Inventor(s): Aristotelis Tsirigos, Bo Xia, Jimin Tan

CPC Classification: G16B40/20 (BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY)

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