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Image Data Resource: a bioimage data integration and publication platform
Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR). IDR links data from several imaging modalities, including high-content screening, multi-dimensional microscopy and di...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536224/ https://www.ncbi.nlm.nih.gov/pubmed/28775673 http://dx.doi.org/10.1038/nmeth.4326 |
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author | Williams, Eleanor Moore, Josh Li, Simon W Rustici, Gabriella Tarkowska, Aleksandra Chessel, Anatole Leo, Simone Antal, Bálint Ferguson, Richard K Sarkans, Ugis Brazma, Alvis Carazo Salas, Rafael E Swedlow, Jason R |
author_facet | Williams, Eleanor Moore, Josh Li, Simon W Rustici, Gabriella Tarkowska, Aleksandra Chessel, Anatole Leo, Simone Antal, Bálint Ferguson, Richard K Sarkans, Ugis Brazma, Alvis Carazo Salas, Rafael E Swedlow, Jason R |
author_sort | Williams, Eleanor |
collection | PubMed |
description | Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR). IDR links data from several imaging modalities, including high-content screening, multi-dimensional microscopy and digital pathology, with public genetic or chemical databases and cell and tissue phenotypes expressed using controlled ontologies. Using this integration, IDR facilitates the analysis of gene networks and reveals functional interactions that are inaccessible to individual studies. To enable reanalysis, we also established a computational resource based on Jupyter notebooks that allows remote access to the entire IDR. IDR is also an open-source platform for publishing imaging data. Thus IDR provides an online resource and a software infrastructure that promotes and extends publication and reanalysis of scientific image data. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nmeth.4326) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5536224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-55362242017-08-01 Image Data Resource: a bioimage data integration and publication platform Williams, Eleanor Moore, Josh Li, Simon W Rustici, Gabriella Tarkowska, Aleksandra Chessel, Anatole Leo, Simone Antal, Bálint Ferguson, Richard K Sarkans, Ugis Brazma, Alvis Carazo Salas, Rafael E Swedlow, Jason R Nat Methods Article Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR). IDR links data from several imaging modalities, including high-content screening, multi-dimensional microscopy and digital pathology, with public genetic or chemical databases and cell and tissue phenotypes expressed using controlled ontologies. Using this integration, IDR facilitates the analysis of gene networks and reveals functional interactions that are inaccessible to individual studies. To enable reanalysis, we also established a computational resource based on Jupyter notebooks that allows remote access to the entire IDR. IDR is also an open-source platform for publishing imaging data. Thus IDR provides an online resource and a software infrastructure that promotes and extends publication and reanalysis of scientific image data. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nmeth.4326) contains supplementary material, which is available to authorized users. Nature Publishing Group US 2017-06-19 2017 /pmc/articles/PMC5536224/ /pubmed/28775673 http://dx.doi.org/10.1038/nmeth.4326 Text en © The Author(s) 2017 https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Williams, Eleanor Moore, Josh Li, Simon W Rustici, Gabriella Tarkowska, Aleksandra Chessel, Anatole Leo, Simone Antal, Bálint Ferguson, Richard K Sarkans, Ugis Brazma, Alvis Carazo Salas, Rafael E Swedlow, Jason R Image Data Resource: a bioimage data integration and publication platform |
title | Image Data Resource: a bioimage data integration and publication platform |
title_full | Image Data Resource: a bioimage data integration and publication platform |
title_fullStr | Image Data Resource: a bioimage data integration and publication platform |
title_full_unstemmed | Image Data Resource: a bioimage data integration and publication platform |
title_short | Image Data Resource: a bioimage data integration and publication platform |
title_sort | image data resource: a bioimage data integration and publication platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536224/ https://www.ncbi.nlm.nih.gov/pubmed/28775673 http://dx.doi.org/10.1038/nmeth.4326 |
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