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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5870801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT muchmoreb cymercytometryanalysisusingknimedockerandr AT alarconriquelmeme cymercytometryanalysisusingknimedockerandr |