Journal article
iSEE: Interactive SummarizedExperiment Explorer
- Abstract:
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.12688/f1000research.14966.1
Authors
- Publisher:
- F1000Research
- Journal:
- F1000Research More from this journal
- Volume:
- 7
- Article number:
- 741
- Publication date:
- 2018-06-14
- Acceptance date:
- 2018-06-14
- DOI:
- EISSN:
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2046-1402
- ISSN:
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2046-1402
- Pmid:
-
30002819
- Language:
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English
- Keywords:
- Pubs id:
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pubs:880144
- UUID:
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uuid:2d467547-0991-4c9f-98f0-e36123a19070
- Local pid:
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pubs:880144
- Source identifiers:
-
880144
- Deposit date:
-
2018-11-07
Terms of use
- Copyright holder:
- Rue-Albrecht K et al
- Copyright date:
- 2018
- Notes:
- © 2018 Rue-Albrecht K et al. 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.
- Licence:
- CC Attribution (CC BY)
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