A quality control tool for cytometry data that can clean the data of erroneous measurements that occur during sample acquisition. PeacoQC will try to find density peaks for every marker in your data and will remove anomalous regions through an isolation tree and MAD analysis. At the end of the analysis, PeacoQC will return a cleaned FCS file and a figure that highlights the problem regions that were removed by the algorithm. Currently it is available on Github, Bioconductor and has a plugin on FlowJo.