Yuhe Cheng

The paper benchmarks sequencing methods to recover mosaic variants in human brain tissue and introduces RIVER to enhance variant detection across methods.

The paper identifies mutational signatures in cancer genomes caused by tobacco-specific nitrosamines NNN and NNK, showing their unique contribution to specific cancer types.

This paper introduces UDSeq, a duplex sequencing protocol for accurate somatic mutation detection with low DNA input and high coverage, achieving a low error rate and enabling cross-species profiling.

DupCaller improves mutation detection in duplex sequencing by using sample-specific error profiles and a strand-aware model, increasing sensitivity across various samples and conditions.

DeepMosaic detects mosaic single nucleotide variants without control samples using deep convolutional neural networks, achieving high accuracy and uncovering many variants missed by existing methods.