flowPhyto: Enabling automated analysis of microscopic algae from continuous flow cytometric data

Bioinformatics

Volumn 27, Issue 5, 2011, Pages 732-733

  Ribalet, Francois ^a   Schruth, David M ^a   Armbrust, E Virginia ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGAE;

ARTICLE; COMPUTER GRAPHICS; COMPUTER PROGRAM; FLOW CYTOMETRY; GROWTH, DEVELOPMENT AND AGING; INFORMATION PROCESSING; METHODOLOGY; MICROALGA; STATISTICS;

AUTOMATIC DATA PROCESSING; COMPUTER GRAPHICS; FLOW CYTOMETRY; MICROALGAE; SOFTWARE; STATISTICS AS TOPIC;

EID: 79951962354     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr003     Document Type: Article

References (4)

1. Lo,K. et al. (2009) flowclust: a bioconductor package for automated gating of flow cytometry data. BMC Bioinformatics, 10, 145.
2. Ribalet,F. et al. (2010) Unveiling a phytoplankton hotspot at a narrow boundary between coastal and offshore waters. Proc. Natl Acad. Sci. USA, 107, 16571-16576.
3. Spidlen,J. et al. (2010) Data file standard for flow cytometry, version fcs 3.1. Cytom. Part A, 77, 97-100.
4. Swalwell,J. et al. (2009) Virtual-core flow cytometry. Cytom. Part A, 75, 960-965.