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      COPASutils: An R Package for Reading, Processing, and Visualizing Data from COPAS Large-Particle Flow Cytometers

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      PLoS ONE
      Public Library of Science

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          Abstract

          The R package COPASutils provides a logical workflow for the reading, processing, and visualization of data obtained from the Union Biometrica Complex Object Parametric Analyzer and Sorter (COPAS) or the BioSorter large-particle flow cytometers. Data obtained from these powerful experimental platforms can be unwieldy, leading to difficulties in the ability to process and visualize the data using existing tools. Researchers studying small organisms, such as Caenorhabditis elegans, Anopheles gambiae, and Danio rerio, and using these devices will benefit from this streamlined and extensible R package. COPASutils offers a powerful suite of functions for the rapid processing and analysis of large high-throughput screening data sets.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, USA )
          1932-6203
          2014
          20 October 2014
          : 9
          : 10
          : e111090
          Affiliations
          [1]Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, United States of America
          Inserm U869, France
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Conceived and designed the experiments: TCS ECA. Performed the experiments: TCS ECA. Analyzed the data: TCS ECA. Contributed reagents/materials/analysis tools: TCS ECA. Contributed to the writing of the manuscript: TCS ECA. Designed the software in this report: TCS ECA.

          Article
          PONE-D-14-33098
          10.1371/journal.pone.0111090
          4203834
          25329171
          a4ea51e3-bc02-40f6-a7bc-2eddaf0046ec
          Copyright @ 2014

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

          History
          : 23 July 2014
          : 26 September 2014
          Page count
          Pages: 5
          Funding
          This work was supported by start-up funds provided by Northwestern University. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Categories
          Research Article
          Biology and Life Sciences
          Genetics
          Animal Genetics
          Genetics of Disease
          Genomics
          Phenotypes
          Organisms
          Animals
          Invertebrates
          Arthropoda
          Insects
          Nematoda
          Systems Biology
          Custom metadata
          The authors confirm that all data underlying the findings are fully available without restriction. This R package is available through CRAN ( http://cran.r-project.org). Newest updates are available through github ( www.github.com/AndersenLab/COPASutils). The package and raw data can also be found at www.AndersenLab.org/Research/Software.

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