Yunching Chen

This paper introduces ColExM, a method for expanding collagen-abundant tissues to enable super-resolution imaging of nanoscale structures.

The paper establishes reference samples with high-coverage whole-genome sequencing to create truth sets for somatic mutation and germline variant detection using NGS technologies.

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

The paper identifies autophagic and mitochondrial dysfunctions in SARS-CoV-2 infection through transcriptome profiling and network analysis of cell lines and human samples.

This study evaluates somatic CNV callers using NGS data from 91 samples with varying factors, finding that caller choice and tumor purity significantly impact call quality.