Flow Cytometry Data File Standard
Created in 1984
How to cite this record FAIRsharing.org: FCS; Flow Cytometry Data File Standard; DOI: https://doi.org/10.25504/FAIRsharing.qrr33y; Last edited: Jan. 8, 2019, 1:35 p.m.; Last accessed: May 15 2021 11:28 a.m.
Record updated: Nov. 28, 2016, 12:18 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.qrr33y' by 'The FAIRsharing Team' at 12:18, 28 Nov 2016 (approved): 'description' has been modified: Before: The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data. In 1984, the first Flow Cytometry Standard format for data files was adopted as FCS 1.0. This standard was modified in 1990 as FCS 2.0 and again in 1997 as FCS 3.0. We report here on the next generation Flow Cytometry Standard data file format. FCS 3.1 is a minor revision based on suggested improvements from the community. The unchanged goal of the Standard is to provide a uniform file format that allows files created by one type of acquisition hardware and software to be analyzed by any other type. After: The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.
No XSD schemas defined
Conditions of Use
Data File Standard for Flow Cytometry, version FCS 3.1.
Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, Wood J, Murphy RF, Roederer M, Sudar D, Zigon R, Brinkman RR
Cytometry A 2010
No guidelines defined
No semantic standards defined
Models and Formats
No syntax standards defined
No identifier schema standards defined
No metrics standards defined
FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.
Immunology Database and Analysis Portal
The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.
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