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garfield

This is thereleased version of garfield; for the devel version, seegarfield.

GWAS Analysis of Regulatory or Functional Information Enrichment with LD correction

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DOI: 10.18129/B9.bioc.garfield


Bioconductor version: Release (3.22)

GARFIELD is a non-parametric functional enrichment analysis approach described in the paper GARFIELD: GWAS analysis of regulatory or functional information enrichment with LD correction. Briefly, it is a method that leverages GWAS findings with regulatory or functional annotations (primarily from ENCODE and Roadmap epigenomics data) to find features relevant to a phenotype of interest. It performs greedy pruning of GWAS SNPs (LD r2 > 0.1) and then annotates them based on functional information overlap. Next, it quantifies Fold Enrichment (FE) at various GWAS significance cutoffs and assesses them by permutation testing, while matching for minor allele frequency, distance to nearest transcription start site and number of LD proxies (r2 > 0.8).

Author: Sandro Morganella <sm22 at sanger.ac.uk>

Maintainer: Valentina Iotchkova <vi1 at sanger.ac.uk>

Citation (from within R, entercitation("garfield")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("garfield")
garfield GuidePDF
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAnnotation,FunctionalPrediction,GenomeAnnotation,Software,StatisticalMethod
Version1.38.0
In Bioconductor sinceBioC 3.3 (R-3.3) (9.5 years)
LicenseGPL-3
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagegarfield_1.38.0.tar.gz
Windows Binary (x86_64) garfield_1.38.0.zip
macOS Binary (x86_64)garfield_1.38.0.tgz
macOS Binary (arm64)garfield_1.38.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/garfield
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/garfield
Bioc Package Browserhttps://code.bioconductor.org/browse/garfield/
Package Short Urlhttps://bioconductor.org/packages/garfield/
Package Downloads ReportDownload Stats

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