flowCL: ontology-based cell population labelling in flow cytometry.
Bioinformatics
; 31(8): 1337-9, 2015 Apr 15.
Article
en En
| MEDLINE
| ID: mdl-25481008
ABSTRACT
MOTIVATION 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. RESULTS:
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.CONCLUSION:
By providing automated labelling of cell populations based on their immunophenotype, flowCL allows for unambiguous and reproducible identification of standardized cell types. AVAILABILITY AND IMPLEMENTATION 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). CONTACT rbrinkman@bccrc.ca SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
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Programas Informáticos
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Fenómenos Fisiológicos Celulares
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Inmunofenotipificación
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Ontología de Genes
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Citometría de Flujo
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Año:
2015
Tipo del documento:
Article