Title
Analysis of High-Throughput Flow Cytometry Data Using plateCore.
Abstract
Flow cytometry (FCM) software packages from R/Bioconductor, such as flowCore and flowViz, serve as an open platform for development of new analysis tools and methods. We created plateCore, a new package that extends the functionality in these core packages to enable automated negative control-based gating and make the processing and analysis of plate-based data sets from high-throughput FCM screening experiments easier. plateCore was used to analyze data from a BD FACS CAP screening experiment where five Peripheral Blood Mononucleocyte Cell (PBMC) samples were assayed for 189 different human cell surface markers. This same data set was also manually analyzed by a cytometry expert using the FlowJo data analysis software package (TreeStar, USA). We show that the expression values for markers characterized using the automated approach in plateCore are in good agreement with those from FlowJo, and that using plateCore allows for more reproducible analyses of FCM screening data.
Year
DOI
Venue
2009
10.1155/2009/356141
Adv. Bioinformatics
Keywords
Field
DocType
bioinformatics,flow cytometry,high throughput,biomedical research
Data mining,FlowJo,Data set,Open platform,Flow cytometry,Computer science,Bioconductor,Software,Throughput,Bioinformatics,Cytometry
Journal
Volume
ISSN
Citations 
2009
1687-8035
1
PageRank 
References 
Authors
0.37
3
4
Name
Order
Citations
PageRank
Errol Strain1413.14
Florian Hahne21208.60
Ryan R Brinkman330225.48
Perry Haaland4443.66