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SwissBioPics—an interactive library of cell images for the visualization of subcellular location data
SwissBioPics (www.swissbiopics.org) is a freely available resource of interactive, high-resolution cell images designed for the visualization of subcellular location data. SwissBioPics provides images describing cell types from all kingdoms of life—from the specialized muscle, neuronal and epithelia...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216577/ https://www.ncbi.nlm.nih.gov/pubmed/35411389 http://dx.doi.org/10.1093/database/baac026 |
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author | Le Mercier, Philippe Bolleman, Jerven de Castro, Edouard Gasteiger, Elisabeth Bansal, Parit Auchincloss, Andrea H Boutet, Emmanuel Breuza, Lionel Casals-Casas, Cristina Estreicher, Anne Feuermann, Marc Lieberherr, Damien Rivoire, Catherine Pedruzzi, Ivo Redaschi, Nicole Bridge, Alan |
author_facet | Le Mercier, Philippe Bolleman, Jerven de Castro, Edouard Gasteiger, Elisabeth Bansal, Parit Auchincloss, Andrea H Boutet, Emmanuel Breuza, Lionel Casals-Casas, Cristina Estreicher, Anne Feuermann, Marc Lieberherr, Damien Rivoire, Catherine Pedruzzi, Ivo Redaschi, Nicole Bridge, Alan |
author_sort | Le Mercier, Philippe |
collection | PubMed |
description | SwissBioPics (www.swissbiopics.org) is a freely available resource of interactive, high-resolution cell images designed for the visualization of subcellular location data. SwissBioPics provides images describing cell types from all kingdoms of life—from the specialized muscle, neuronal and epithelial cells of animals, to the rods, cocci, clubs and spirals of prokaryotes. All cell images in SwissBioPics are drawn in Scalable Vector Graphics (SVG), with each subcellular location tagged with a unique identifier from the controlled vocabulary of subcellular locations and organelles of UniProt (https://www.uniprot.org/locations/). Users can search and explore SwissBioPics cell images through our website, which provides a platform for users to learn more about how cells are organized. A web component allows developers to embed SwissBioPics images in their own websites, using the associated JavaScript and a styling template, and to highlight subcellular locations and organelles by simply providing the web component with the appropriate identifier(s) from the UniProt-controlled vocabulary or the ‘Cellular Component’ branch of the Gene Ontology (www.geneontology.org), as well as an organism identifier from the National Center for Biotechnology Information taxonomy (https://www.ncbi.nlm.nih.gov/taxonomy). The UniProt website now uses SwissBioPics to visualize the subcellular locations and organelles where proteins function. SwissBioPics is freely available for anyone to use under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. DATABASE URL: www.swissbiopics.org |
format | Online Article Text |
id | pubmed-9216577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92165772022-06-23 SwissBioPics—an interactive library of cell images for the visualization of subcellular location data Le Mercier, Philippe Bolleman, Jerven de Castro, Edouard Gasteiger, Elisabeth Bansal, Parit Auchincloss, Andrea H Boutet, Emmanuel Breuza, Lionel Casals-Casas, Cristina Estreicher, Anne Feuermann, Marc Lieberherr, Damien Rivoire, Catherine Pedruzzi, Ivo Redaschi, Nicole Bridge, Alan Database (Oxford) Original Article SwissBioPics (www.swissbiopics.org) is a freely available resource of interactive, high-resolution cell images designed for the visualization of subcellular location data. SwissBioPics provides images describing cell types from all kingdoms of life—from the specialized muscle, neuronal and epithelial cells of animals, to the rods, cocci, clubs and spirals of prokaryotes. All cell images in SwissBioPics are drawn in Scalable Vector Graphics (SVG), with each subcellular location tagged with a unique identifier from the controlled vocabulary of subcellular locations and organelles of UniProt (https://www.uniprot.org/locations/). Users can search and explore SwissBioPics cell images through our website, which provides a platform for users to learn more about how cells are organized. A web component allows developers to embed SwissBioPics images in their own websites, using the associated JavaScript and a styling template, and to highlight subcellular locations and organelles by simply providing the web component with the appropriate identifier(s) from the UniProt-controlled vocabulary or the ‘Cellular Component’ branch of the Gene Ontology (www.geneontology.org), as well as an organism identifier from the National Center for Biotechnology Information taxonomy (https://www.ncbi.nlm.nih.gov/taxonomy). The UniProt website now uses SwissBioPics to visualize the subcellular locations and organelles where proteins function. SwissBioPics is freely available for anyone to use under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. DATABASE URL: www.swissbiopics.org Oxford University Press 2022-04-12 /pmc/articles/PMC9216577/ /pubmed/35411389 http://dx.doi.org/10.1093/database/baac026 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Le Mercier, Philippe Bolleman, Jerven de Castro, Edouard Gasteiger, Elisabeth Bansal, Parit Auchincloss, Andrea H Boutet, Emmanuel Breuza, Lionel Casals-Casas, Cristina Estreicher, Anne Feuermann, Marc Lieberherr, Damien Rivoire, Catherine Pedruzzi, Ivo Redaschi, Nicole Bridge, Alan SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title | SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title_full | SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title_fullStr | SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title_full_unstemmed | SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title_short | SwissBioPics—an interactive library of cell images for the visualization of subcellular location data |
title_sort | swissbiopics—an interactive library of cell images for the visualization of subcellular location data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216577/ https://www.ncbi.nlm.nih.gov/pubmed/35411389 http://dx.doi.org/10.1093/database/baac026 |
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