FlowCL: Ontology-based cell population labelling in flow cytometry

Bioinformatics

Volumn 31, Issue 8, 2015, Pages 1337-1339

  Courtot, Mélanie ^a   Meskas, Justin ^a   Diehl, Alexander D ^c   Droumeva, Radina ^b   Gottardo, Raphael ^d   Jalali, Adrin ^b   Taghiyar, Mohammad Jafar ^b   Maecker, Holden T ^e   McCoy, J Philip ^f,g   Ruttenberg, Alan ^h   Scheuermann, Richard H ^i,j   Brinkman, Ryan R ^b  

^a SIMON FRASER UNIVERSITY   (Canada)

^b BRITISH COLUMBIA CANCER AGENCY   (Canada)

^c UNIVERSITY AT BUFFALO   (United States)

^d Fred Hutchinson Cancer Research Center   (United States)

^e STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^g NATIONAL INSTITUTES OF HEALTH   (United States)

^h UNIVERSITY AT BUFFALO   (United States)

ⁱ J CRAIG VENTER INSTITUTE   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

CCR7 PROTEIN, HUMAN; CD45 ANTIGEN; CHEMOKINE RECEPTOR CCR7;

ALGORITHM; CELL FUNCTION; COMPUTER PROGRAM; FLOW CYTOMETRY; GENE ONTOLOGY; HUMAN; IMMUNOPHENOTYPING; PROCEDURES;

ALGORITHMS; ANTIGENS, CD45; CELL PHYSIOLOGICAL PHENOMENA; FLOW CYTOMETRY; GENE ONTOLOGY; HUMANS; IMMUNOPHENOTYPING; RECEPTORS, CCR7; SOFTWARE;

EID: 84927728858     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu807     Document Type: Article

References (6)

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3. Maecker, H. T., McCoy, J. P. and Nussenblatt, R. (2012). Standardizing immunophenotyping for the human immunology project. Nat. Rev. Immunol., 12, 191-200.
4. Malek, M. et al. (2014). flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification. Bioinformatics: btu677.
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