Bioconductor version: Release (3.16)
Most human genes have multiple promoters that control the expression of different isoforms. The use of these alternative promoters enables the regulation of isoform expression pre-transcriptionally. Alternative promoters have been found to be important in a wide number of cell types and diseases. proActiv is an R package that enables the analysis of promoters from RNA-seq data. proActiv uses aligned reads as input, and generates counts and normalized promoter activity estimates for each annotated promoter. In particular, proActiv accepts junction files from TopHat2 or STAR or BAM files as inputs. These estimates can then be used to identify which promoter is active, which promoter is inactive, and which promoters change their activity across conditions. proActiv also allows visualization of promoter activity across conditions.
Author: Deniz Demircioglu [aut] , Jonathan Göke [aut], Joseph Lee [cre]
Maintainer: Joseph Lee <joseph.lee at u.nus.edu>
Citation (from within R,
enter citation("proActiv")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("proActiv")
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("proActiv")
HTML | R Script | Identifying Active and Alternative Promoters from RNA-Seq data with proActiv |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | AlternativeSplicing, DifferentialSplicing, Epigenetics, FunctionalGenomics, GeneExpression, GeneRegulation, Preprocessing, RNASeq, Software, Transcription, Transcriptomics |
Version | 1.8.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (2.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 4.0.0) |
Imports | AnnotationDbi, BiocParallel, data.table, dplyr, DESeq2, IRanges, GenomicRanges, GenomicFeatures, GenomicAlignments, GenomeInfoDb, ggplot2, gplots, graphics, methods, rlang, scales, S4Vectors, SummarizedExperiment, stats, tibble |
LinkingTo | |
Suggests | testthat, rmarkdown, knitr, Rtsne, gridExtra |
SystemRequirements | |
Enhances | |
URL | https://github.com/GoekeLab/proActiv |
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 | proActiv_1.8.0.tar.gz |
Windows Binary | proActiv_1.8.0.zip |
macOS Binary (x86_64) | proActiv_1.8.0.tgz |
macOS Binary (arm64) | proActiv_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/proActiv |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/proActiv |
Bioc Package Browser | https://code.bioconductor.org/browse/proActiv/ |
Package Short Url | https://bioconductor.org/packages/proActiv/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: