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TRONCO

This is the released version of TRONCO; for the devel version, see TRONCO.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1

TRONCO, an R package for TRanslational ONCOlogy


Bioconductor version: Release (3.23)

The TRONCO (TRanslational ONCOlogy) R package collects algorithms to infer progression models via the approach of Suppes-Bayes Causal Network, both from an ensemble of tumors (cross-sectional samples) and within an individual patient (multi-region or single-cell samples). The package provides parallel implementation of algorithms that process binary matrices where each row represents a tumor sample and each column a single-nucleotide or a structural variant driving the progression; a 0/1 value models the absence/presence of that alteration in the sample. The tool can import data from plain, MAF or GISTIC format files, and can fetch it from the cBioPortal for cancer genomics. Functions for data manipulation and visualization are provided, as well as functions to import/export such data to other bioinformatics tools for, e.g, clustering or detection of mutually exclusive alterations. Inferred models can be visualized and tested for their confidence via bootstrap and cross-validation. TRONCO is used for the implementation of the Pipeline for Cancer Inference (PICNIC).

Author: Marco Antoniotti [ctb], Giulio Caravagna [aut], Luca De Sano [cre, aut] ORCID iD ORCID: 0000-0002-9618-3774 , Alex Graudenzi [aut], Giancarlo Mauri [ctb], Bud Mishra [ctb], Daniele Ramazzotti [aut] ORCID iD ORCID: 0000-0002-6087-2666

Maintainer: Luca De Sano <luca.desano at gmail.com>

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

Giulio Caravagna, Luca De Sano, Alex Graudenzi, Daniele Ramazzotti. TRONCO: TRONCO, an R package for TRanslational ONCOlogy. doi:10.18129/B9.bioc.TRONCO, R package version 2.44.0, https://bioconductor.org/packages/TRONCO.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TRONCO")

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

Documentation

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

browseVignettes("TRONCO")
f1_introduction.html HTML R Script
Loading data HTML R Script
Data visualization HTML R Script
Data manipulation HTML R Script
Model inference HTML R Script
Post reconstruction HTML R Script
Import/export from other tools HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Bayesian, BiomedicalInformatics, Clustering, DataImport, GraphAndNetwork, ImmunoOncology, Network, NetworkInference, SingleCell, Software, SomaticMutation
Version2.44.0
In Bioconductor sinceBioC 3.1 (R-3.2) (11.5 years)
License GPL-3
Depends R (>= 4.1.0)
Imports bnlearn, Rgraphviz, gtools, parallel, foreach, doParallel, iterators, RColorBrewer, circlize, igraph, grid, gridExtra, xtable, gtable, scales, R.matlab, grDevices, graphics, stats, utils, methods
System Requirements
URLhttps://sites.google.com/site/troncopackage/
Bug Reportshttps://github.com/BIMIB-DISCo/TRONCO
See More
Suggests BiocGenerics, BiocStyle, testthat, knitr, rWikiPathways, magick
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TRONCO_2.44.0.tar.gz
Windows Binary (x86_64) TRONCO_2.44.0.zip
macOS Binary (big-sur-x86_64) TRONCO_2.44.0.tgz
macOS Binary (sonoma-arm64) TRONCO_2.44.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/TRONCO
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/TRONCO
Package Short Url https://bioconductor.org/packages/TRONCO/
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