This is the development version of anota; for the stable release version, see anota.
ANalysis Of Translational Activity (ANOTA).Bioconductor version: Development (3.22)
Genome wide studies of translational control is emerging as a tool to study verious biological conditions. The output from such analysis is both the mRNA level (e.g. cytosolic mRNA level) and the levl of mRNA actively involved in translation (the actively translating mRNA level) for each mRNA. The standard analysis of such data strives towards identifying differential translational between two or more sample classes - i.e. differences in actively translated mRNA levels that are independent of underlying differences in cytosolic mRNA levels. This package allows for such analysis using partial variances and the random variance model. As 10s of thousands of mRNAs are analyzed in parallell the library performs a number of tests to assure that the data set is suitable for such analysis.
Author: Ola Larsson <ola.larsson at ki.se>, Nahum Sonenberg <nahum.sonenberg at mcgill.ca>, Robert Nadon <robert.nadon at mcgill.ca>
Maintainer: Ola Larsson <ola.larsson at ki.se>
Citation (from within R, entercitation("anota")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("anota")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("anota")Follow Installation instructions to use this package in your R session.
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