PathwaySplice

DOI: 10.18129/B9.bioc.PathwaySplice    

An R Package for Unbiased Splicing Pathway Analysis

Bioconductor version: Release (3.6)

Pathway analysis of alternative splicing would be biased without accounting for the different number of exons associated with each gene, because genes with higher number of exons are more likely to be included in the 'significant' gene list in alternative splicing. PathwaySplice is an R package that: (1) performs pathway analysis that explicitly adjusts for the number of exons associated with each gene (2) visualizes selection bias due to different number of exons for each gene (3) formally tests for presence of bias using logistic regression (4) supports gene sets based on the Gene Ontology terms, as well as more broadly defined gene sets (e.g. MSigDB) or user defined gene sets (5) identifies the significant genes driving pathway significance (6) organizes significant pathways with an enrichment map, where pathways with large number of overlapping genes are grouped together in a network graph

Author: Aimin Yan, Xi Chen, Lily Wang

Maintainer: Aimin Yan <aimin.at.work at gmail.com>

Citation (from within R, enter citation("PathwaySplice")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PathwaySplice")

Documentation

HTML R Script PathwaySplice
PDF   Reference Manual
Text   NEWS

Details

biocViews AlternativeSplicing, DifferentialSplicing, GO, GeneSetEnrichment, GraphAndNetwork, Network, NetworkEnrichment, Pathways, RNASeq, Regression, Sequencing, Software, Visualization
Version 1.0.0
License LGPL(>=2)
Depends R (>= 3.4.0)
Imports goseq, Biobase, DOSE, reshape2, igraph, org.Hs.eg.db, org.Mm.eg.db, BiocGenerics, AnnotationDbi, JunctionSeq, BiasedUrn, GO.db, gdata, geneLenDataBase, grDevices, graphics, stats, utils, VennDiagram, RColorBrewer, ensembldb, AnnotationHub, S4Vectors, dplyr, plotly, webshot, htmlwidgets, mgcv, gridExtra, grid, gplots, tibble
LinkingTo
Suggests testthat, knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package PathwaySplice_1.0.0.tar.gz
Windows Binary PathwaySplice_1.0.0.zip
Mac OS X 10.11 (El Capitan) PathwaySplice_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PathwaySplice
Package Short Url http://bioconductor.org/packages/PathwaySplice/
Package Downloads Report Download Stats

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