Rigorous, customized single-cell multi-omic data analysis for publication-ready research

I provide research-grade single-cell multi-omic data analysis, including transcriptomics, chromatin accessibility, immune repertoire, and cell surface protein profiling, for basic and translational studies that require methodological rigor and reviewer-aware design.

What I Emphasize

• Sample-specific quality control
• Biology-prioritized batch correction
• Conservative, hierarchical cell annotation
• Statistically valid downstream analysis

Analysis Scope

• Differential expression — Pseudobulk Using DESeq2
• Cell abundance changes — miloR
• Trajectory inference — RNA velocity, Monocle, PAGA
• Gene regulatory networks — pySCENIC
• Cell–cell communication — CellChat, NicheNet
• Tumor cell identification — inferCNV, CopyKAT

Immune Repertoire (VDJ) Analysis

Immune repertoire data are re-quantified using MiXCR, with allele-aware and allele-collapsed outputs for clonotype similarity, diversity, and V/J gene usage analysis.

For additional methodological details,
see Analysis Details.

Contact

For customized analysis plans or example reports, please feel free to email me for an initial consultation.