Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

Deep Learning for Assembly Deviation Estimation: A UNet-based Contact Point Prediction Approach Using Mating Status Image

Abstract: Skin model shapes have emerged as a critical tool in assembly deviation analysis. However, the traditional analytical methods struggle with complex geometries and nonlinear relationships.