This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see anota.
Bioconductor version: 3.15
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,
enter citation("anota")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("anota")
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:
browseVignettes("anota")
R Script | ANalysis Of Translational Activity (anota) | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, Microarray, Sequencing, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (11.5 years) |
License | GPL-3 |
Depends | qvalue |
Imports | multtest, qvalue |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | tRanslatome |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | anota_1.44.0.tar.gz |
Windows Binary | anota_1.44.0.zip |
macOS Binary (x86_64) | anota_1.44.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/anota |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/anota |
Package Short Url | https://bioconductor.org/packages/anota/ |
Package Downloads Report | Download Stats |
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