DOI: 10.18129/B9.bioc.GenomicSuperSignature  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see GenomicSuperSignature.

Interpretation of RNA-seq experiments through robust, efficient comparison to public databases

Bioconductor version: 3.16

This package provides a novel method for interpreting new transcriptomic datasets through near-instantaneous comparison to public archives without high-performance computing requirements. Through the pre-computed index, users can identify public resources associated with their dataset such as gene sets, MeSH term, and publication. Functions to identify interpretable annotations and intuitive visualization options are implemented in this package.

Author: Sehyun Oh [aut, cre], Levi Waldron [aut], Sean Davis [aut]

Maintainer: Sehyun Oh <shbrief at>

Citation (from within R, enter citation("GenomicSuperSignature")):


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biocViews Clustering, Pathways, PrincipalComponent, RNASeq, Sequencing, Software, SystemsBiology, Transcriptomics
Version 1.6.0
In Bioconductor since BioC 3.13 (R-4.1) (2 years)
License Artistic-2.0
Depends R (>= 4.1.0), SummarizedExperiment
Imports ComplexHeatmap, ggplot2, methods, S4Vectors, Biobase, ggpubr, dplyr, plotly, BiocFileCache, grid, flextable, irlba
Suggests knitr, rmarkdown, devtools, roxygen2, pkgdown, usethis, BiocStyle, testthat, forcats, stats, wordcloud, circlize, EnrichmentBrowser, clusterProfiler, msigdbr, cluster, RColorBrewer, reshape2, tibble, BiocManager, bcellViper, readr, utils
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