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Advances in Bioinformatics
Volume 2009, Article ID 356141, 10 pages
Research Article

Analysis of High-Throughput Flow Cytometry Data Using plateCore

1FDA-Center for Food Safety and Nutrition, HFS-013 5100 Paint Branch Parkway, College Park, MD 20740, USA
2Fred Hutchison Cancer Research Center, M2-B514 P.O. Box 19024 Seattle, WA 98109, USA
3Terry Fox Laboratory, British Columbia Cancer Agency, 675 West 10th Avenue, Vancouver, BC, Canada V5Z 1L3
4BD Technologies, 21 Davis Dr, Research Triangle Park, NC 27709, USA

Received 2 April 2009; Accepted 21 July 2009

Academic Editor: Matt Wand

Copyright © 2009 Errol Strain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Shane Bruckner, Ling Wang, Ruiling Yuan, Perry Haaland, and Amitabh Gaur, “Flow-Based Combinatorial Antibody Profiling: An Integrated Approach to Cell Characterization,” Flow Cytometry Protocols, vol. 699, pp. 97–118, 2010. View at Publisher · View at Google Scholar
  • Kathryn Brosnan, Andrew Want, Karen Coopman, and Christopher J. Hewitt, “Multiparameter flow cytometry for the characterization of human embryonic stem cells,” Biotechnology Letters, vol. 35, no. 1, pp. 55–65, 2012. View at Publisher · View at Google Scholar
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  • Nolwenn Le Meur, “Computational methods for evaluation of cell-based data assessment—Bioconductor,” Current Opinion in Biotechnology, vol. 24, no. 1, pp. 105–111, 2013. View at Publisher · View at Google Scholar
  • Gianni Monaco, Hao Chen, Michael Poidinger, Jinmiao Chen, João Pedro de Magalhães, and Anis Larbi, “flowAI: automatic and interactive anomaly discerning tools for flow cytometry data,” Bioinformatics, pp. btw191, 2016. View at Publisher · View at Google Scholar
  • Csaba Ortutay, and Zsuzsanna Ortutay, “Flow cytometry: counting and sorting stained cells,” Molecular Data Analysis Using R, pp. 279–310, 2017. View at Publisher · View at Google Scholar