Peak Extraction And Cleaning Oriented Quality Control (PeacoQC) is a data QC tool developed by Emmaneel et al. from the VIB Center for Inflammation Research, Ghent, Belgium1. It is implemented in the Cytobank platform to enable automated cleaning of cytometry data. The algorithm will determine density peaks per channel on which it will remove low-quality events based on their position in the isolation tree (IT) and on their mean absolute deviation distance (MAD) to these density peaks. PeacoQCworks with all types of data, mass, flow, and spectral cytometry data. It needs to work with a preprocessed (transformed and, if appropriate, compensated or unmixed) FCS file.
Schematic Overview of PeacoQC
Here is the list of support articles related to the PeacoQC process:
- Emmaneel A, Quintelier K, Sichien D, Rybakowska P, Marañón C, Alarcón-Riquelme ME, Van Isterdael G, Van Gassen S, Saeys Y. PeacoQC: Peak-based selection of high quality cytometry data. Cytometry A. 2022 Apr;101(4):325-338. doi: 10.1002/cyto.a.24501. Epub 2021 Oct 3. PMID: 34549881; PMCID: PMC9293479.