Data Standards for Flow Cytometry

Overview

Journal OMICS

Specialties Biology
Molecular Biology

Date 2006 Aug 12

PMID 16901228

Citations 12

Authors

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

Affiliations

Soon will be listed here.

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.

Citing Articles

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The Evolution of Single-Cell Analysis and Utility in Drug Development.

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CytoML for cross-platform cytometry data sharing.

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