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PAST

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9

Pathway Association Study Tool (PAST)


Bioconductor version: Development (3.24)

PAST takes GWAS output and assigns SNPs to genes, uses those genes to find pathways associated with the genes, and plots pathways based on significance. Implements methods for reading GWAS input data, finding genes associated with SNPs, calculating enrichment score and significance of pathways, and plotting pathways.

Author: Thrash Adam [cre, aut], DeOrnellis Mason [aut]

Maintainer: Thrash Adam <thrash at igbb.msstate.edu>

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

Thrash Adam, DeOrnellis Mason. PAST: Pathway Association Study Tool (PAST). doi:10.18129/B9.bioc.PAST, R package version 1.29.0, https://bioconductor.org/packages/PAST.

Generated from the package metadata; it may differ from the package's own citation.

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("PAST")

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("PAST")
PAST HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews GeneSetEnrichment, Pathways, Software
Version1.29.0
In Bioconductor sinceBioC 3.9 (R-3.6) (7.5 years)
License GPL (>=3) + file LICENSE
Depends R (>= 4.0)
Imports stats, utils, dplyr, rlang, iterators, parallel, foreach, doParallel, qvalue, rtracklayer, ggplot2, GenomicRanges, S4Vectors
System Requirements
URLhttps://github.com/IGBB/past
Bug Reportshttps://github.com/IGBB/past/issues
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Suggests knitr, rmarkdown
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Package Archives

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

Source Package PAST_1.29.0.tar.gz
Windows Binary (x86_64) PAST_1.29.0.zip
macOS Binary (big-sur-x86_64) PAST_1.29.0.tgz
macOS Binary (sonoma-arm64) PAST_1.29.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PAST
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PAST
Package Short Url https://bioconductor.org/packages/PAST/
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