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RiboDiPA

This is the development version of RiboDiPA; for the stable release version, see RiboDiPA.

Differential pattern analysis for Ribo-seq data


Bioconductor version: Development (3.24)

This package performs differential pattern analysis for Ribo-seq data. It identifies genes with significantly different patterns in the ribosome footprint between two conditions. RiboDiPA contains five major components including bam file processing, P-site mapping, data binning, differential pattern analysis and footprint visualization.

Author: Keren Li [aut], Matt Hope [aut], Xiaozhong Wang [aut], Ji-Ping Wang [aut, cre]

Maintainer: Ji-Ping Wang <jzwang at northwestern.edu>

Citation (from within R, enter citation("RiboDiPA")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("RiboDiPA")

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("RiboDiPA")
RiboDiPA HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Alignment, Coverage, DataImport, DifferentialExpression, GeneExpression, GeneRegulation, ImmunoOncology, Normalization, QualityControl, RNASeq, RiboSeq, Sequencing, Software
Version 1.21.0
In Bioconductor since BioC 3.13 (R-4.1) (5 years)
License LGPL (>= 3)
Depends R (>= 4.1), Rsamtools, GenomicFeatures, GenomicAlignments
Imports Rcpp (>= 1.0.2), graphics, stats, data.table, elitism, methods, S4Vectors, IRanges, GenomicRanges, matrixStats, reldist, doParallel, foreach, parallel, qvalue, DESeq2, ggplot2, BiocFileCache, BiocGenerics, txdbmaker
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Suggests knitr, rmarkdown
Linking To Rcpp
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Package Archives

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

Source Package RiboDiPA_1.21.0.tar.gz
Windows Binary (x86_64) RiboDiPA_1.21.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) RiboDiPA_1.21.0.tgz
macOS Binary (sonoma-arm64) RiboDiPA_1.21.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RiboDiPA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RiboDiPA
Bioc Package Browser https://code.bioconductor.org/browse/RiboDiPA/
Package Short Url https://bioconductor.org/packages/RiboDiPA/
Package Downloads Report Download Stats