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iSEE: Interactive SummarizedExperiment Explorer

Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment E...

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Detalles Bibliográficos
Autores principales: Rue-Albrecht, Kevin, Marini, Federico, Soneson, Charlotte, Lun, Aaron T.L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013759/
https://www.ncbi.nlm.nih.gov/pubmed/30002819
http://dx.doi.org/10.12688/f1000research.14966.1
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author Rue-Albrecht, Kevin
Marini, Federico
Soneson, Charlotte
Lun, Aaron T.L.
author_facet Rue-Albrecht, Kevin
Marini, Federico
Soneson, Charlotte
Lun, Aaron T.L.
author_sort Rue-Albrecht, Kevin
collection PubMed
description Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets.
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spelling pubmed-60137592018-07-11 iSEE: Interactive SummarizedExperiment Explorer Rue-Albrecht, Kevin Marini, Federico Soneson, Charlotte Lun, Aaron T.L. F1000Res Software Tool Article Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets. F1000 Research Limited 2018-06-14 /pmc/articles/PMC6013759/ /pubmed/30002819 http://dx.doi.org/10.12688/f1000research.14966.1 Text en Copyright: © 2018 Rue-Albrecht K et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Rue-Albrecht, Kevin
Marini, Federico
Soneson, Charlotte
Lun, Aaron T.L.
iSEE: Interactive SummarizedExperiment Explorer
title iSEE: Interactive SummarizedExperiment Explorer
title_full iSEE: Interactive SummarizedExperiment Explorer
title_fullStr iSEE: Interactive SummarizedExperiment Explorer
title_full_unstemmed iSEE: Interactive SummarizedExperiment Explorer
title_short iSEE: Interactive SummarizedExperiment Explorer
title_sort isee: interactive summarizedexperiment explorer
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013759/
https://www.ncbi.nlm.nih.gov/pubmed/30002819
http://dx.doi.org/10.12688/f1000research.14966.1
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