Y. Ann Chen

This study identifies three phases of UV-induced skin carcinogenesis using a mouse model, showing the emergence of large clades, clonal selection, and lesion formation.

BERLIN reanalyzes single-cell RNAseq data to identify cell types and lineages, showing accurate results in acute myeloid leukemia and tumor-reactive lymphocytes.

Snaq automates 16S microbiome data analysis with QIIME2 using a Snakemake pipeline, reducing manual effort and parameter confusion through a single command-line instruction.

This study uses DNA methylation data to accurately predict immune cell infiltration in solid tumors, particularly in melanoma, and provides a simple model for clinical application.