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colocr: an R package for conducting co-localization analysis on fluorescence microscopy images
BACKGROUND: The co-localization analysis of fluorescence microscopy images is a widely used technique in biological research. It is often used to determine the co-distribution of two proteins inside the cell, suggesting that these two proteins could be functionally or physically associated. The limi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612416/ https://www.ncbi.nlm.nih.gov/pubmed/31309005 http://dx.doi.org/10.7717/peerj.7255 |
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author | Ahmed, Mahmoud Lai, Trang Huyen Kim, Deok Ryong |
author_facet | Ahmed, Mahmoud Lai, Trang Huyen Kim, Deok Ryong |
author_sort | Ahmed, Mahmoud |
collection | PubMed |
description | BACKGROUND: The co-localization analysis of fluorescence microscopy images is a widely used technique in biological research. It is often used to determine the co-distribution of two proteins inside the cell, suggesting that these two proteins could be functionally or physically associated. The limiting step in conducting microscopy image analysis in a graphical interface tool is the selection of the regions of interest for the co-localization of two proteins. IMPLEMENTATION: This package provides a simple straightforward workflow for loading fluorescence images, choosing regions of interest and calculating co-localization measurements. Included in the package is a shiny app that can be invoked locally to interactively select the regions of interest where two proteins are co-localized. AVAILABILITY: colocr is available on the comprehensive R archive network, and the source code is available on GitHub under the GPL-3 license as part of the ROpenSci collection, https://github.com/ropensci/colocr. |
format | Online Article Text |
id | pubmed-6612416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66124162019-07-15 colocr: an R package for conducting co-localization analysis on fluorescence microscopy images Ahmed, Mahmoud Lai, Trang Huyen Kim, Deok Ryong PeerJ Biochemistry BACKGROUND: The co-localization analysis of fluorescence microscopy images is a widely used technique in biological research. It is often used to determine the co-distribution of two proteins inside the cell, suggesting that these two proteins could be functionally or physically associated. The limiting step in conducting microscopy image analysis in a graphical interface tool is the selection of the regions of interest for the co-localization of two proteins. IMPLEMENTATION: This package provides a simple straightforward workflow for loading fluorescence images, choosing regions of interest and calculating co-localization measurements. Included in the package is a shiny app that can be invoked locally to interactively select the regions of interest where two proteins are co-localized. AVAILABILITY: colocr is available on the comprehensive R archive network, and the source code is available on GitHub under the GPL-3 license as part of the ROpenSci collection, https://github.com/ropensci/colocr. PeerJ Inc. 2019-07-04 /pmc/articles/PMC6612416/ /pubmed/31309005 http://dx.doi.org/10.7717/peerj.7255 Text en ©2019 Ahmed et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biochemistry Ahmed, Mahmoud Lai, Trang Huyen Kim, Deok Ryong colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title_full | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title_fullStr | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title_full_unstemmed | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title_short | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images |
title_sort | colocr: an r package for conducting co-localization analysis on fluorescence microscopy images |
topic | Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612416/ https://www.ncbi.nlm.nih.gov/pubmed/31309005 http://dx.doi.org/10.7717/peerj.7255 |
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