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

Tyler C. Shimko^*, Erik C. Andersen

^*Corresponding author for this work

Molecular Biosciences

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English (US)
Article number	0111090
Journal	PloS one
Volume	9
Issue number	10
DOIs	https://doi.org/10.1371/journal.pone.0111090
State	Published - Oct 20 2014

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
General

Access to Document

10.1371/journal.pone.0111090

Fingerprint Dive into the research topics of 'COPASutils: An R package for reading, processing, and visualizing data from copas large-particle flow cytometers'. Together they form a unique fingerprint.

Cite this

@article{18144d110b1747d99c45d18e77ec9d3a,

title = "COPASutils: An R package for reading, processing, and visualizing data from copas large-particle flow cytometers",

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.",

author = "Shimko, {Tyler C.} and Andersen, {Erik C.}",

year = "2014",

month = oct,

day = "20",

doi = "10.1371/journal.pone.0111090",

language = "English (US)",

volume = "9",

journal = "PLoS One",

issn = "1932-6203",

publisher = "Public Library of Science",

number = "10",

}

TY - JOUR

T1 - COPASutils

T2 - An R package for reading, processing, and visualizing data from copas large-particle flow cytometers

AU - Shimko, Tyler C.

AU - Andersen, Erik C.

PY - 2014/10/20

Y1 - 2014/10/20

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84908179510&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908179510&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0111090

DO - 10.1371/journal.pone.0111090

M3 - Article

C2 - 25329171

AN - SCOPUS:84908179510

VL - 9

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 10

M1 - 0111090

ER -