flowCL: ontology-based cell population labelling in flow cytometry.
Details
Serval ID
serval:BIB_0119A2481840
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
flowCL: ontology-based cell population labelling in flow cytometry.
Journal
Bioinformatics
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Publication state
Published
Issued date
15/04/2015
Peer-reviewed
Oui
Volume
31
Number
8
Pages
1337-1339
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
We developed flowCL, a software package that performs semantic labelling of cell populations based on their surface markers and applied it to labelling of the Federation of Clinical Immunology Societies Human Immunology Project Consortium lyoplate populations as a use case.
By providing automated labelling of cell populations based on their immunophenotype, flowCL allows for unambiguous and reproducible identification of standardized cell types.
Code, R script and documentation are available under the Artistic 2.0 license through Bioconductor (http://www.bioconductor.org/packages/devel/bioc/html/flowCL.html).
rbrinkman@bccrc.ca
Supplementary data are available at Bioinformatics online.
We developed flowCL, a software package that performs semantic labelling of cell populations based on their surface markers and applied it to labelling of the Federation of Clinical Immunology Societies Human Immunology Project Consortium lyoplate populations as a use case.
By providing automated labelling of cell populations based on their immunophenotype, flowCL allows for unambiguous and reproducible identification of standardized cell types.
Code, R script and documentation are available under the Artistic 2.0 license through Bioconductor (http://www.bioconductor.org/packages/devel/bioc/html/flowCL.html).
rbrinkman@bccrc.ca
Supplementary data are available at Bioinformatics online.
Keywords
Algorithms, Cell Physiological Phenomena, Flow Cytometry/methods, Gene Ontology, Humans, Immunophenotyping/methods, Leukocyte Common Antigens/analysis, Receptors, CCR7/analysis, Software
Pubmed
Web of science
Open Access
Yes
Create date
28/02/2022 11:45
Last modification date
23/03/2024 7:24
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