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Simulated single molecule microscopy with SMeagol
Summary: SMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation and optimization of advanced analysis methods for live cell single molecule microscopy data. Availability and implementation: SMeag...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965627/ https://www.ncbi.nlm.nih.gov/pubmed/27153711 http://dx.doi.org/10.1093/bioinformatics/btw109 |
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author | Lindén, Martin Ćurić, Vladimir Boucharin, Alexis Fange, David Elf, Johan |
author_facet | Lindén, Martin Ćurić, Vladimir Boucharin, Alexis Fange, David Elf, Johan |
author_sort | Lindén, Martin |
collection | PubMed |
description | Summary: SMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation and optimization of advanced analysis methods for live cell single molecule microscopy data. Availability and implementation: SMeagol runs on Matlab R2014 and later, and uses compiled binaries in C for reaction–diffusion simulations. Documentation, source code and binaries for Mac OS, Windows and Ubuntu Linux can be downloaded from http://smeagol.sourceforge.net. Contact: johan.elf@icm.uu.se Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4965627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49656272016-08-01 Simulated single molecule microscopy with SMeagol Lindén, Martin Ćurić, Vladimir Boucharin, Alexis Fange, David Elf, Johan Bioinformatics Applications Notes Summary: SMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation and optimization of advanced analysis methods for live cell single molecule microscopy data. Availability and implementation: SMeagol runs on Matlab R2014 and later, and uses compiled binaries in C for reaction–diffusion simulations. Documentation, source code and binaries for Mac OS, Windows and Ubuntu Linux can be downloaded from http://smeagol.sourceforge.net. Contact: johan.elf@icm.uu.se Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-08-01 2016-03-04 /pmc/articles/PMC4965627/ /pubmed/27153711 http://dx.doi.org/10.1093/bioinformatics/btw109 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 Lindén, Martin Ćurić, Vladimir Boucharin, Alexis Fange, David Elf, Johan Simulated single molecule microscopy with SMeagol |
title | Simulated single molecule microscopy with SMeagol |
title_full | Simulated single molecule microscopy with SMeagol |
title_fullStr | Simulated single molecule microscopy with SMeagol |
title_full_unstemmed | Simulated single molecule microscopy with SMeagol |
title_short | Simulated single molecule microscopy with SMeagol |
title_sort | simulated single molecule microscopy with smeagol |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965627/ https://www.ncbi.nlm.nih.gov/pubmed/27153711 http://dx.doi.org/10.1093/bioinformatics/btw109 |
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