Cited 11 time in
colocr: an R package for conducting co-localization analysis on fluorescence microscopy images
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ahmed, Mahmoud | - |
| dc.contributor.author | Trang Huyen Lai | - |
| dc.contributor.author | Kim, Deok Ryong | - |
| dc.date.accessioned | 2022-12-26T14:46:53Z | - |
| dc.date.available | 2022-12-26T14:46:53Z | - |
| dc.date.issued | 2019-07 | - |
| dc.identifier.issn | 2167-8359 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/8957 | - |
| dc.description.abstract | 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. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | PeerJ | - |
| dc.title | colocr: an R package for conducting co-localization analysis on fluorescence microscopy images | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.7717/peerj.7255 | - |
| dc.identifier.scopusid | 2-s2.0-85074137529 | - |
| dc.identifier.wosid | 000474200000008 | - |
| dc.identifier.bibliographicCitation | PeerJ, v.7, no.7 | - |
| dc.citation.title | PeerJ | - |
| dc.citation.volume | 7 | - |
| dc.citation.number | 7 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
| dc.subject.keywordAuthor | R package | - |
| dc.subject.keywordAuthor | Colocalization | - |
| dc.subject.keywordAuthor | Image analysis | - |
| dc.subject.keywordAuthor | Fluorescence microscopy | - |
| dc.subject.keywordAuthor | Statistics | - |
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