ISAC's Gating-ML 2.0 data exchange standard for gating description

Cytometry A. 2015 Jul;87(7):683-7. doi: 10.1002/cyto.a.22690. Epub 2015 May 14.


The lack of software interoperability with respect to gating has traditionally been a bottleneck preventing the use of multiple analytical tools and reproducibility of flow cytometry data analysis by independent parties. To address this issue, ISAC developed Gating-ML, a computer file format to encode and interchange gates. Gating-ML 1.5 was adopted and published as an ISAC Candidate Recommendation in 2008. Feedback during the probationary period from implementors, including major commercial software companies, instrument vendors, and the wider community, has led to a streamlined Gating-ML 2.0. Gating-ML has been significantly simplified and therefore easier to support by software tools. To aid developers, free, open source reference implementations, compliance tests, and detailed examples are provided to stimulate further commercial adoption. ISAC has approved Gating-ML as a standard ready for deployment in the public domain and encourages its support within the community as it is at a mature stage of development having undergone extensive review and testing, under both theoretical and practical conditions.

Keywords: bioinformatics; data standard; file format; flow cytometry; gating.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Flow Cytometry / methods*
  • Flow Cytometry / standards*
  • Reference Standards
  • Reproducibility of Results
  • Software / standards*