plateCore

plateCore extends R/Bioconductor packages flowCore and flowViz to automate gating and quantitative analysis of plate-based high-throughput flow cytometry data using negative control–based gating.


Key Features:

  • Automated negative control-based gating: Implements negative control–driven automated gating to standardize gate determination across plate-based flow cytometry assays.
  • Integration with R/Bioconductor: Leverages flowCore and flowViz S4 data structures and routines within Bioconductor for data handling and interoperability.
  • High-throughput plate-based flow cytometry support: Handles large datasets typical of high-throughput screening workflows, including data from BD FACS CAP systems.
  • Reproducible expression quantification: Produces expression values that align closely with manual FlowJo analysis, demonstrated on PBMC samples assayed for 189 human cell surface markers.

Scientific Applications:

  • High-Throughput Flow Cytometry Screening: Analysis of large-scale screening experiments and datasets from instruments such as BD FACS CAP systems.
  • Comparative reproducibility assessment: Automated analysis of PBMC samples assayed for 189 human cell surface markers to compare automated outputs with manual FlowJo results.

Methodology:

Uses negative control–based automated gating and leverages flowCore/flowViz S4 data structures and routines to compute expression values comparable to manual FlowJo analysis.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Differential protein expression analysis

Publications

Strain E, Hahne F, Brinkman RR, Haaland P. Analysis of High-Throughput Flow Cytometry Data Using plateCore. Advances in Bioinformatics. 2009;2009:1-10. doi:10.1155/2009/356141. PMID:19956418. PMCID:PMC2777006.

Funding: - National Institute of Biomedical Imaging and Bioengineering: EB005034 - Michael Smith Foundation for Health Research: EB005034

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