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Genomics explorer using statistical and survival analysis in R

Bioconductor version: Release (3.19)

GNOSIS incorporates a range of R packages enabling users to efficiently explore and visualise clinical and genomic data obtained from cBioPortal. GNOSIS uses an intuitive GUI and multiple tab panels supporting a range of functionalities. These include data upload and initial exploration, data recoding and subsetting, multiple visualisations, survival analysis, statistical analysis and mutation analysis, in addition to facilitating reproducible research.

Author: Lydia King [aut, cre] , Marcel Ramos [ctb]

Maintainer: Lydia King <l.king18 at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

GNOSIS Overview HTML R Script
Reference Manual PDF
GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal Video


biocViews GUI, ShinyApps, Software, Survival
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License MIT + file LICENSE
Depends R (>= 4.3.0), shiny, shinydashboard, shinydashboardPlus, dashboardthemes, shinyWidgets, shinymeta, tidyverse,, maftools
Imports DT, fontawesome, shinycssloaders, cBioPortalData, shinyjs, reshape2, RColorBrewer, survival, survminer, stats, compareGroups, rpart, partykit, DescTools, car, rstatix, fabricatr, shinylogs, magrittr
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Follow Installation instructions to use this package in your R session.

Source Package GNOSIS_1.2.0.tar.gz
Windows Binary
macOS Binary (x86_64) GNOSIS_1.2.0.tgz
macOS Binary (arm64) GNOSIS_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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