iSEE: Interactive SummarizedExperiment Explorer
Author(s) -
Kévin Rue-Albrecht,
Fédérico Marini,
Charlotte Soneson,
Aaron T. L. Lun
Publication year - 2018
Publication title -
f1000research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.099
H-Index - 60
ISSN - 2046-1402
DOI - 10.12688/f1000research.14966.1
Subject(s) - bioconductor , computer science , visualization , throughput , flexibility (engineering) , software , interactive visualization , source code , data mining , biology , programming language , operating system , gene , biochemistry , statistics , wireless , mathematics
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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