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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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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. |
format | Online Article Text |
id | pubmed-6013759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ruealbrechtkevin iseeinteractivesummarizedexperimentexplorer AT marinifederico iseeinteractivesummarizedexperimentexplorer AT sonesoncharlotte iseeinteractivesummarizedexperimentexplorer AT lunaarontl iseeinteractivesummarizedexperimentexplorer |