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Differences in cell populations and their signaling molecule phosphorylation patterns in health and disease can be explored to determine potential disease mechanisms and targets for treatment. Mass cytometry uses heavy metal conjugated antibodies coupled with mass spectrometry to detect surface marker expression and protein phosphorylation patterns for over 40 different parameters per cell simultaneously (Bendall et al., 2011). Cells can be grouped into populations based upon surface marker expression with statistical summaries of different measurements including population frequency and marker expression computed; however, manual analysis and exportation of statistics from different software analyses platforms and converting the exported data into a usable form can be labor intensive.

CytobankAPIstats: Computes Signaling and Population Statistics for Cytometry Data on Cytobank using CytobankAPI