DOI: 10.18129/B9.bioc.RNAsense  

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

Analysis of Time-Resolved RNA-Seq Data

Bioconductor version: Development (3.18)

RNA-sense tool compares RNA-seq time curves in two experimental conditions, i.e. wild-type and mutant, and works in three steps. At Step 1, it builds expression profile for each transcript in one condition (i.e. wild-type) and tests if the transcript abundance grows or decays significantly. Dynamic transcripts are then sorted to non-overlapping groups (time profiles) by the time point of switch up or down. At Step 2, RNA-sense outputs the groups of differentially expressed transcripts, which are up- or downregulated in the mutant compared to the wild-type at each time point. At Step 3, Correlations (Fisher's exact test) between the outputs of Step 1 (switch up- and switch down- time profile groups) and the outputs of Step2 (differentially expressed transcript groups) are calculated. The results of the correlation analysis are printed as two-dimensional color plot, with time profiles and differential expression groups at y- and x-axis, respectively, and facilitates the biological interpretation of the data.

Author: Marcus Rosenblatt [cre], Gao Meijang [aut], Helge Hass [aut], Daria Onichtchouk [aut]

Maintainer: Marcus Rosenblatt <marcus.rosenblatt at gmail.com>

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


To install this package, start R (version "4.3") and enter:

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

# The following initializes usage of Bioc devel


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:



HTML R Script Put the title of your vignette here
PDF   Reference Manual


biocViews DifferentialExpression, GeneExpression, RNASeq, Software
Version 1.15.0
In Bioconductor since BioC 3.10 (R-3.6) (3.5 years)
License GPL-3
Depends R (>= 3.6)
Imports ggplot2, parallel, NBPSeq, qvalue, SummarizedExperiment, stats, utils, methods
Suggests knitr, rmarkdown
BugReports https://github.com/marcusrosenblatt/RNAsense
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package RNAsense_1.15.0.tar.gz
Windows Binary RNAsense_1.15.0.zip
macOS Binary (x86_64) RNAsense_1.15.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/RNAsense
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RNAsense
Bioc Package Browser https://code.bioconductor.org/browse/RNAsense/
Package Short Url https://bioconductor.org/packages/RNAsense/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: