Bioconductor version: Release (3.17)
Tools for data management, count preprocessing, and differential analysis in massively parallel report assays (MPRA).
Author: Leslie Myint [cre, aut], Kasper D. Hansen [aut]
Maintainer: Leslie Myint <leslie.myint at gmail.com>
Citation (from within R,
enter citation("mpra")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("mpra")
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("mpra")
HTML | R Script | mpra User's Guide |
Reference Manual | ||
Text | NEWS |
biocViews | FunctionalGenomics, GeneRegulation, Sequencing, Software |
Version | 1.22.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (6 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5.0), methods, BiocGenerics, SummarizedExperiment, limma |
Imports | S4Vectors, scales, stats, graphics, statmod |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, RUnit |
SystemRequirements | |
Enhances | |
URL | https://github.com/hansenlab/mpra |
BugReports | https://github.com/hansenlab/mpra/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | mpra_1.22.0.tar.gz |
Windows Binary | mpra_1.22.0.zip |
macOS Binary (x86_64) | mpra_1.22.0.tgz |
macOS Binary (arm64) | mpra_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/mpra |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mpra |
Bioc Package Browser | https://code.bioconductor.org/browse/mpra/ |
Package Short Url | https://bioconductor.org/packages/mpra/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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