Ming Chen

In the Department of Single-Cell Sequencing:

• Conducted single-cell transcriptome data analysis, contributing to the construction of cellular atlases of disease immune microenvironments and the characterization of cellular heterogeneity.
• Performed comparative analysis to delineate cellular expression profile distinctions of Severe Aplastic Anemia (SAA), Hepatitis-Associated Aplastic Anemia (HAAA), and normal samples
• Developed an innovative algorithmic tool for defining cell types, which has been integrated into the company's single-cell analysis workflow.(https://github.com/Bio-MingChen/novoalgor)
• Created a fully automated single-cell analysis workflow, significantly improving work efficiency and reducing operation cycle time.

In the Department of Human Disease Research:

• Analyzed Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS) data for disease samples, completing SNP/INDEL/SV calling, analysis of dominant and recessive traits of mutation sites, and custom analysis for more than 200 projects.
• Utilized Genome-Wide Association Studies (GWAS) to analyze more than 626 cleft lip and palate (CLP) samples, identifying potential disease-related mutation sites.
• Conducted Human Leukocyte Antigen (HLA) analysis on Behcet's disease samples, identified rare HLA typings.
• Constructed bioinformatics analysis workflow for somatic mutation detection, resulting in finding specific variants called Clonal hematopoiesis of indeterminate potential (CHIP).
• Developed comprehensive disease information database and website, connecting variants, genes, and diseases together.