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CymeR: cytometry analysis using KNIME, docker and R

SUMMARY: Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any...

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Detalles Bibliográficos
Autores principales: Muchmore, B, Alarcón-Riquelme, M E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870801/
https://www.ncbi.nlm.nih.gov/pubmed/27998935
http://dx.doi.org/10.1093/bioinformatics/btw707
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author Muchmore, B
Alarcón-Riquelme, M E
author_facet Muchmore, B
Alarcón-Riquelme, M E
author_sort Muchmore, B
collection PubMed
description SUMMARY: Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed. AVAILABILITY AND IMPLEMENTATION: CymeR is open-source software that ties several components into a single program that is perhaps best thought of as a self-contained data analysis operating system. Please see https://github.com/bmuchmore/CymeR/wiki for detailed installation instructions.
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spelling pubmed-58708012018-03-29 CymeR: cytometry analysis using KNIME, docker and R Muchmore, B Alarcón-Riquelme, M E Bioinformatics Applications Notes SUMMARY: Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed. AVAILABILITY AND IMPLEMENTATION: CymeR is open-source software that ties several components into a single program that is perhaps best thought of as a self-contained data analysis operating system. Please see https://github.com/bmuchmore/CymeR/wiki for detailed installation instructions. Oxford University Press 2017-03-01 2016-12-15 /pmc/articles/PMC5870801/ /pubmed/27998935 http://dx.doi.org/10.1093/bioinformatics/btw707 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Muchmore, B
Alarcón-Riquelme, M E
CymeR: cytometry analysis using KNIME, docker and R
title CymeR: cytometry analysis using KNIME, docker and R
title_full CymeR: cytometry analysis using KNIME, docker and R
title_fullStr CymeR: cytometry analysis using KNIME, docker and R
title_full_unstemmed CymeR: cytometry analysis using KNIME, docker and R
title_short CymeR: cytometry analysis using KNIME, docker and R
title_sort cymer: cytometry analysis using knime, docker and r
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870801/
https://www.ncbi.nlm.nih.gov/pubmed/27998935
http://dx.doi.org/10.1093/bioinformatics/btw707
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