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ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity
The study of dynamic cellular processes in living cells is central to biology and is particularly powerful when the motility characteristics of individual objects within cells can be determined and analysed statistically. However, commercial programs only offer a limited range of inflexible analysis...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896115/ https://www.ncbi.nlm.nih.gov/pubmed/20542911 http://dx.doi.org/10.1093/nar/gkq542 |
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author | Hamilton, Russell S. Parton, Richard M. Oliveira, Raquel A. Vendra, Georgia Ball, Graeme Nasmyth, Kim Davis, Ilan |
author_facet | Hamilton, Russell S. Parton, Richard M. Oliveira, Raquel A. Vendra, Georgia Ball, Graeme Nasmyth, Kim Davis, Ilan |
author_sort | Hamilton, Russell S. |
collection | PubMed |
description | The study of dynamic cellular processes in living cells is central to biology and is particularly powerful when the motility characteristics of individual objects within cells can be determined and analysed statistically. However, commercial programs only offer a limited range of inflexible analysis modules and there are currently no open source programs for extensive analysis of particle motility. Here, we describe ParticleStats (http://www.ParticleStats.com), a web server and open source programs, which input the X,Y coordinate positions of objects in time, and output novel analyses, graphical plots and statistics for motile objects. ParticleStats comprises three separate analysis programs. First, ParticleStats:Directionality for the global analysis of polarity, for example microtubule plus end growth in Drosophila oocytes. Second, ParticleStats:Compare for the analysis of saltatory movement in terms of runs and pauses. This can be applied to chromosome segregation and molecular motor-based movements. Thirdly ParticleStats:Kymographs for the analysis of kymograph images, for example as applied to separation of chromosomes in mitosis. These analyses have provided key insights into molecular mechanisms that are not possible from qualitative analysis alone and are widely applicable to many other cell biology problems. |
format | Text |
id | pubmed-2896115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961152010-07-02 ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity Hamilton, Russell S. Parton, Richard M. Oliveira, Raquel A. Vendra, Georgia Ball, Graeme Nasmyth, Kim Davis, Ilan Nucleic Acids Res Articles The study of dynamic cellular processes in living cells is central to biology and is particularly powerful when the motility characteristics of individual objects within cells can be determined and analysed statistically. However, commercial programs only offer a limited range of inflexible analysis modules and there are currently no open source programs for extensive analysis of particle motility. Here, we describe ParticleStats (http://www.ParticleStats.com), a web server and open source programs, which input the X,Y coordinate positions of objects in time, and output novel analyses, graphical plots and statistics for motile objects. ParticleStats comprises three separate analysis programs. First, ParticleStats:Directionality for the global analysis of polarity, for example microtubule plus end growth in Drosophila oocytes. Second, ParticleStats:Compare for the analysis of saltatory movement in terms of runs and pauses. This can be applied to chromosome segregation and molecular motor-based movements. Thirdly ParticleStats:Kymographs for the analysis of kymograph images, for example as applied to separation of chromosomes in mitosis. These analyses have provided key insights into molecular mechanisms that are not possible from qualitative analysis alone and are widely applicable to many other cell biology problems. Oxford University Press 2010-07-01 2010-06-11 /pmc/articles/PMC2896115/ /pubmed/20542911 http://dx.doi.org/10.1093/nar/gkq542 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hamilton, Russell S. Parton, Richard M. Oliveira, Raquel A. Vendra, Georgia Ball, Graeme Nasmyth, Kim Davis, Ilan ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title | ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title_full | ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title_fullStr | ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title_full_unstemmed | ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title_short | ParticleStats: open source software for the analysis of particle motility and cytoskeletal polarity |
title_sort | particlestats: open source software for the analysis of particle motility and cytoskeletal polarity |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896115/ https://www.ncbi.nlm.nih.gov/pubmed/20542911 http://dx.doi.org/10.1093/nar/gkq542 |
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