flowCL: ontology-based cell population labelling in flow cytometry | Zendy

Mélanie Courtot | Zendy; Justin Meskas | Zendy; Alexander D. Diehl | Zendy; Radina Droumeva | Zendy; Raphaël Gottardo | Zendy; Adrin Jalali | Zendy; M. Jafar Taghiyar | Zendy; Holden T. Maecker | Zendy; J. Philip McCoy | Zendy; Alan Ruttenberg | Zendy; Richard H. Scheuermann | Zendy; Ryan R. Brinkman | Zendy

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flowCL: ontology-based cell population labelling in flow cytometry

Author(s) -

Mélanie Courtot,

Justin Meskas,

Alexander D. Diehl,

Radina Droumeva,

Raphaël Gottardo,

Adrin Jalali,

M. Jafar Taghiyar,

Holden T. Maecker,

J. Philip McCoy,

Alan Ruttenberg,

Richard H. Scheuermann,

Ryan R. Brinkman

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu807

Subject(s) - labelling , flow cytometry , computer science , ontology , population , biology , microbiology and biotechnology , medicine , biochemistry , environmental health , philosophy , epistemology

Finding one or more cell populations of interest, such as those correlating to a specific disease, is critical when analysing flow cytometry data. However, labelling of cell populations is not well defined, making it difficult to integrate the output of algorithms to external knowledge sources.

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