RNAsense

DOI: 10.18129/B9.bioc.RNAsense    

Analysis of Time-Resolved RNA-Seq Data

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("RNAsense")

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("RNAsense")

 

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

Details

biocViews	DifferentialExpression, GeneExpression, RNASeq, Software
Version	1.10.0
In Bioconductor since	BioC 3.10 (R-3.6) (3 years)
License	GPL-3
Depends	R (>= 3.6)
Imports	ggplot2, parallel, NBPSeq, qvalue, SummarizedExperiment, stats, utils, methods
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL
BugReports	https://github.com/marcusrosenblatt/RNAsense
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Imports Me
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Build Report

Package Archives

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

Source Package	RNAsense_1.10.0.tar.gz
Windows Binary	RNAsense_1.10.0.zip
macOS Binary (x86_64)	RNAsense_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/RNAsense
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RNAsense
Package Short Url	https://bioconductor.org/packages/RNAsense/
Package Downloads Report	Download Stats