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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...

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Autores principales: Hamilton, Russell S., Parton, Richard M., Oliveira, Raquel A., Vendra, Georgia, Ball, Graeme, Nasmyth, Kim, Davis, Ilan
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
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.
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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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