Research Area
Computational Proteomics
Improving peptide identification, neoantigen discovery, isoform characterization, and post-translational modification interpretation for mass spectrometry-based proteomics.
Translating omics data into biological insights…
We develop integrative bioinformatics approaches to translate omics data into biological insights,
with a focus on computational proteomics, cancer proteogenomics, and data democratization.
Scientific Focus
Three connected areas anchor the lab's work, from method development to biological discovery and clinical translation.
Research Area
Improving peptide identification, neoantigen discovery, isoform characterization, and post-translational modification interpretation for mass spectrometry-based proteomics.
Research Area
Integrating genomics, transcriptomics, and proteomics to provide functional context for cancer biology, diagnostics, and therapeutics.
Research Area
Making public proteomics and cancer multi-omics datasets easier to query, analyze, visualize, and reuse through user-friendly tools.
Latest Updates
A quick look at the lab's most recent papers, awards, trainees, and collaborative milestones.
Jul 17, 2026
Lab attends NCI ITCR Annual Meeting at Cold Spring Harbor
Yongchao Dou and Bing Zhang attended the NCI Informatics Technology for Cancer Research (ITCR) Annual Meeting, where Yongchao presented a talk on isoform-resolved protein inference and quantification in shotgun proteomics.
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Jun 12, 2026
Proteogenomic study of acute myeloid leukemia published in Nature Cancer
Our integrated proteogenomic and metabolomic analysis of acute myeloid leukemia, identifying molecular subtypes and associated therapy targets, has been published in Nature Cancer.
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Apr 20, 2026
Multi-omics atlas of gastric cancer published in Cell Reports Medicine
Our 15-layer multi-omics study of gastric cancer, defining tumor ecotypes that link the tumor microenvironment to clinical outcomes and therapeutic vulnerabilities, has been published in Cell Reports Medicine.
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