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Data standards | Flow cytometry analysis

Like the microarray field, the ability to collect flow cytometry data is outpacing the computational means for data handling and analysis. Furthermore, the lack of reporting standardization limits collaboration, independent validation/refutation and meta-analysis, and thus minimizes the value of the wealth of existing flow cytometry data due to poor annotation (Maecker et al., 2005). Such technological advances, in the absence of reporting standards, also introduce considerable challenges for the producers, reviewers, and consumers of today’s biomedical and immunology literature (Herzenberg et al., 2006).

(Maecker et al., 2005) Standardization of cytokine flow cytometry assays. BMC Immunology.
(Herzenberg et al., 2006) Interpreting flow cytometry data: a guide for the perplexed. Immunology.

Source text:
(Lee et al., 2008) MIFlowCyt: the minimum information about a Flow Cytometry Experiment. Cytometry A.

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