We are pleased to announce the opening of the FlowCAP-III competition, evaluating automated flow cytometry data analysis methods. To register and obtain download information for the FlowCAP-III datasets please send an email to
flo...@flowsite.org<mailto:
flo...@flowsite.org>.
Flow cytometry has been widely used by immunologists and cancer biologists for more than 30 years as a biomedical research tool to distinguish different cell types in mixed populations based on the expression of cellular markers. It has also become a widely used diagnostic tool for clinicians to identify abnormal cell populations associated with disease. In the last decade, advances in instrumentation and reagent technologies have enabled simultaneous single-cell measurement of tens of surface and intracellular markers, as well as tens of signaling molecules, positioning flow cytometry to play an even bigger role in medicine and systems biology. However, the rapid expansion of flow cytometry applications has outpaced the functionality of traditional analysis tools used to interpret flow cytometry data such that scientists are faced with the daunting prospect of manually identifying interesting cell populations in 20 (and now 40-100) dimensional data from a collection of millions of cells. For these reasons a reliable automated approach to flow cytometric analysis is desirable. While there has been a growing interest among the scientific community in developing these methods, guidance for end users about appropriate use and application of these methods is scarce.
In response to this need, we are pleased to announce the Flow Cytometry: Critical Assessment of Population Identification Methods (FlowCAP-III) challenges (
http://flowcap.flowsite.org/). The goal of FlowCAP is to advance the development of computational methods for the identification of cell populations of interest in flow cytometry data. FlowCAP is providing the means to objectively test these methods using common datasets. A manuscript detailing the results of the first two FlowCAP challenges is currently under revision for peer-reviewed publication. FlowCAP-III consists of challenges for prediction of a clinical/biological outcome as well as comparison with manual gates in cross-institute studies. A full description of the challenges is attached, and available from the FlowCAP website.
An NIH/NIAID-sponsored summit will be held for participants at the NIH campus from 29 to 30 Nov 2012. Several travel awards are available to our best participants. To register for the meeting (free!) please see registration website:
http://palladianpartners.cvent.com/d/jcqwb4.
Ryan Brinkman, on behalf of the FlowCAP Organizing Committee:
Nima Aghaeepour, British Columbia Cancer Agency
Ryan R. Brinkman, British Columbia Cancer Agency
Greg Finak, Fred Hutchison Cancer Research Center
Raphael Gottardo, Fred Hutchison Cancer Research Center
Tim R. Mosmann, University of Rochester Medical Center
Richard H. Scheuermann, J. Craig Venter Institute