Bioconductor 3.22 Released

cTRAP

This is the development version of cTRAP; for the stable release version, see cTRAP.

Identification of candidate causal perturbations from differential gene expression data


Bioconductor version: Development (3.23)

Compare differential gene expression results with those from known cellular perturbations (such as gene knock-down, overexpression or small molecules) derived from the Connectivity Map. Such analyses allow not only to infer the molecular causes of the observed difference in gene expression but also to identify small molecules that could drive or revert specific transcriptomic alterations.

Author: Bernardo P. de Almeida [aut], Nuno Saraiva-Agostinho [aut, cre], Nuno L. Barbosa-Morais [aut, led]

Maintainer: Nuno Saraiva-Agostinho <nunodanielagostinho at gmail.com>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("cTRAP")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, ImmunoOncology, Pathways, RNASeq, Software, Transcriptomics
Version 1.29.0
In Bioconductor since BioC 3.8 (R-3.5) (7 years)
License MIT + file LICENSE
Depends R (>= 4.0)
Imports AnnotationDbi, AnnotationHub, binr, cowplot, data.table, dplyr, DT, fastmatch, fgsea, ggplot2, ggrepel, graphics, highcharter, htmltools, httr, limma, methods, parallel, pbapply, purrr, qs, R.utils, readxl, reshape2, rhdf5, rlang, scales, shiny (>= 1.7.0), shinycssloaders, stats, tibble, tools, utils
System Requirements
URL https://nuno-agostinho.github.io/cTRAP https://github.com/nuno-agostinho/cTRAP
Bug Reports https://github.com/nuno-agostinho/cTRAP/issues
See More
Suggests testthat, knitr, covr, rmarkdown, spelling, biomaRt, remotes
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/cTRAP
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/cTRAP
Package Short Url https://bioconductor.org/packages/cTRAP/
Package Downloads Report Download Stats