Expected Outcomes
Deep learning models can be trained to identify and correct errors in DNA sequencing data, as well as to detect genetic variants that are difficult to find using conventional methods.
Develop new sequencing technologies that are faster and more cost-effective than current methods.
Analyzing DNA sequencing data in new ways leads to new discoveries about human biology and disease.
Development of new deep learning models for DNA sequencing and analysis.
Application of deep learning to new types of DNA sequence data.
Epigenetic modifications, chromatin accessibility, and 3D genome structure, to understand how they interact with DNA sequences and regulate gene expression.
Exploring the potential applications of deep learning in precision medicine.