Mineotaur: a tool for high-content microscopy screen sharing and visual analytics

High-throughput/high-content microscopy-based screens are powerful tools for functional genomics, yielding intracellular information down to the level of single-cells for thousands of genotypic conditions. However, accessing their data requires specialized knowledge and most often that data is no lo...

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Detalles Bibliográficos
Autores principales: Antal, Bálint, Chessel, Anatole, Carazo Salas, Rafael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Open Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699365/
https://www.ncbi.nlm.nih.gov/pubmed/26679168
http://dx.doi.org/10.1186/s13059-015-0836-5
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author Antal, Bálint
Chessel, Anatole
Carazo Salas, Rafael E.
author_facet Antal, Bálint
Chessel, Anatole
Carazo Salas, Rafael E.
author_sort Antal, Bálint
collection PubMed
description High-throughput/high-content microscopy-based screens are powerful tools for functional genomics, yielding intracellular information down to the level of single-cells for thousands of genotypic conditions. However, accessing their data requires specialized knowledge and most often that data is no longer analyzed after initial publication. We describe Mineotaur (http://www.mineotaur.org), a open-source, downloadable web application that allows easy online sharing and interactive visualisation of large screen datasets, facilitating their dissemination and further analysis, and enhancing their impact. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0836-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-46993652016-01-05 Mineotaur: a tool for high-content microscopy screen sharing and visual analytics Antal, Bálint Chessel, Anatole Carazo Salas, Rafael E. Genome Biol Open Letter High-throughput/high-content microscopy-based screens are powerful tools for functional genomics, yielding intracellular information down to the level of single-cells for thousands of genotypic conditions. However, accessing their data requires specialized knowledge and most often that data is no longer analyzed after initial publication. We describe Mineotaur (http://www.mineotaur.org), a open-source, downloadable web application that allows easy online sharing and interactive visualisation of large screen datasets, facilitating their dissemination and further analysis, and enhancing their impact. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0836-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-17 2015 /pmc/articles/PMC4699365/ /pubmed/26679168 http://dx.doi.org/10.1186/s13059-015-0836-5 Text en © Antal et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Open Letter
Antal, Bálint
Chessel, Anatole
Carazo Salas, Rafael E.
Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title_full Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title_fullStr Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title_full_unstemmed Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title_short Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
title_sort mineotaur: a tool for high-content microscopy screen sharing and visual analytics
topic Open Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699365/
https://www.ncbi.nlm.nih.gov/pubmed/26679168
http://dx.doi.org/10.1186/s13059-015-0836-5
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