Package: garfield 1.33.0

Valentina Iotchkova

garfield: GWAS Analysis of Regulatory or Functional Information Enrichment with LD correction

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).

Authors:Sandro Morganella <[email protected]>

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NEWS

# Install 'garfield' in R:
install.packages('garfield', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:garfield-1.33.0(bioc 3.20)garfield-1.32.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

5 exports 0.82 score 0 dependencies

Last updated 2 months agofrom:03b981bdf3

Exports:garfield_permgarfield_prepgarfield.plotgarfield.plot.fnxgarfield.run

Dependencies:

garfield Guide

Rendered fromvignette.Rnwusingknitr::knitron Jun 20 2024.

Last update: 2018-08-30
Started: 2016-02-25