SingleCellMQC: A comprehensive quality control workflow for single-cell multi-omics
Daihan Ji, Mei Han, Shuting Lu, Jiaying Zeng, Wen Zhong · 2026
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Description
Daihan Ji and co-authors present SingleCellMQC, a quality control workflow for single-cell multi-omics data, in a 2026 paper. Modern studies profile thousands of cells across RNA, surface proteins, and immune receptors at once. Bad cells and batch effects can poison every downstream result. Each data type also fails in its own ways. A unified check has been missing.
The open-source package runs quality control at sample, cell, feature, and batch levels. It blends fixed thresholds, tissue reference ranges, and data-driven outlier hunts. Interactive web reports summarize the verdicts visually. The tool builds on popular single-cell software stacks. Labs gain one gatekeeper for complex experiments. Cleaner inputs should mean more trustworthy biology.
Catalog record
| CREATOR | Daihan Ji, Mei Han, Shuting Lu, Jiaying Zeng, Wen Zhong |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 85 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |