COPASutils: an R package for reading, processing, and visualizing data from COPAS large-particle flow cytometers

Tyler C Shimko; Erik C Andersen

doi:10.1371/journal.pone.0111090

COPASutils: an R package for reading, processing, and visualizing data from COPAS large-particle flow cytometers

PLoS One. 2014 Oct 20;9(10):e111090. doi: 10.1371/journal.pone.0111090. eCollection 2014.

Authors

Tyler C Shimko¹, Erik C Andersen¹

Affiliation

¹ Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, United States of America.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Anopheles
Caenorhabditis elegans
Flow Cytometry / methods*
Software*
Zebrafish

Grants and 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.