Data standards for flow cytometry

Josef Spidlen, Robert C. Gentleman, Perry D. Haaland, Morgan Langille, Nolwenn Le Meur, Michael F. Ochs, Charles Schmitt, Clayton A. Smith, Adam S. Treister, Ryan R. Brinkman

Research output: Contribution to journalArticle

Abstract

Flow cytometry (FCM) is an analytical tool widely used for cancer and HIV/AIDS research, and treatment, stem cell manipulation and detecting microorganisms in environmental samples. Current data standards do not capture the full scope of FCM experiments and there is a demand for software tools that can assist in the exploration and analysis of large FCM datasets. We are implementing a standardized approach to capturing, analyzing, and disseminating FCM data that will facilitate both more complex analyses and analysis of datasets that could not previously be efficiently studied. Initial work has focused on developing a community-based guideline for recording and reporting the details of FCM experiments. Open source software tools that implement this standard are being created, with an emphasis on facilitating reproducible and extensible data analyses. As well, tools for electronic collaboration will assist the integrated access and comprehension of experiments to empower users to collaborate on FCM analyses. This coordinated, joint development of bioinformatics standards and software tools for FCM data analysis has the potential to greatly facilitate both basic and clinical research-impacting a notably diverse range of medical and environmental research areas.

Original languageEnglish (US)
Pages (from-to)209-214
Number of pages6
JournalOMICS A Journal of Integrative Biology
Volume10
Issue number2
DOIs
StatePublished - 2006
Externally publishedYes

Fingerprint

Flow cytometry
Flow Cytometry
Software
Stem Cell Research
Experiments
Bioinformatics
Computational Biology
Stem cells
Microorganisms
Biomedical Research
Acquired Immunodeficiency Syndrome
HIV
Guidelines
Research
Neoplasms

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

Cite this

Spidlen, J., Gentleman, R. C., Haaland, P. D., Langille, M., Le Meur, N., Ochs, M. F., ... Brinkman, R. R. (2006). Data standards for flow cytometry. OMICS A Journal of Integrative Biology, 10(2), 209-214. https://doi.org/10.1089/omi.2006.10.209

Data standards for flow cytometry. / Spidlen, Josef; Gentleman, Robert C.; Haaland, Perry D.; Langille, Morgan; Le Meur, Nolwenn; Ochs, Michael F.; Schmitt, Charles; Smith, Clayton A.; Treister, Adam S.; Brinkman, Ryan R.

In: OMICS A Journal of Integrative Biology, Vol. 10, No. 2, 2006, p. 209-214.

Research output: Contribution to journalArticle

Spidlen, J, Gentleman, RC, Haaland, PD, Langille, M, Le Meur, N, Ochs, MF, Schmitt, C, Smith, CA, Treister, AS & Brinkman, RR 2006, 'Data standards for flow cytometry', OMICS A Journal of Integrative Biology, vol. 10, no. 2, pp. 209-214. https://doi.org/10.1089/omi.2006.10.209
Spidlen J, Gentleman RC, Haaland PD, Langille M, Le Meur N, Ochs MF et al. Data standards for flow cytometry. OMICS A Journal of Integrative Biology. 2006;10(2):209-214. https://doi.org/10.1089/omi.2006.10.209
Spidlen, Josef ; Gentleman, Robert C. ; Haaland, Perry D. ; Langille, Morgan ; Le Meur, Nolwenn ; Ochs, Michael F. ; Schmitt, Charles ; Smith, Clayton A. ; Treister, Adam S. ; Brinkman, Ryan R. / Data standards for flow cytometry. In: OMICS A Journal of Integrative Biology. 2006 ; Vol. 10, No. 2. pp. 209-214.
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