Biocview "GenomeWideAssociation"

Accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies

Ancestry Specific Allele Frequency Estimation

Association analysis of CNVs and imputed SNPs incorporating uncertainty

A Tool for Individualized Coherent Absolute Risk Estimation (iCARE)

A tool for quantification of associations between genotypes and phenotypes in genome wide association studies (GWAS) with Bayesian inference and statistical learning

Bayesian analysis of Gaussian GWAS data

Candidate Gene Miner

coMET: visualisation of regional epigenome-wide association scan (EWAS) results and DNA co-methylation patterns

coMET: visualisation of regional epigenome-wide association scan (EWAS) results and DNA co-methylation patterns.

Comprehensive QTL annotation of GWAS results

Computes estimates of the probability of related individuals sharing a rare variant

Controlling bias and inflation in association studies using the empirical null distribution

Diffusion scores on biological networks

GEM: fast association study for the interplay of Gene, Environment and Methylation

Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq

Generation of null ranges via bootstrapping or covariate matching

GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness

Genome wide association studies of multiple traits with Bayesian multilvel models

Genotype Conditional Association TEST

genphen: tool for quantification of genotype-phenotype associations in genome wide association studies (GWAS)

Gimpute: An efficient genetic data processing and imputation pipeline

gin in R

GISPA: Method for Gene Integrated Set Profile Analysis

Global Test for Counts

GPA (Genetic analysis incorporating Pleiotropy and Annotation)

graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture

GWAS Incorporating Networks

gwasurvivr: an R package for genome wide survival analysis

Hierarchical Inference

Identification of candidate genes associated with genetic variation

Integrating Multi-Omic Network Data With Summay-Level GWAS Data

Integrative Pathway Analysis with Modern PCA Methodology and Gene Selection

Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway Level

'(m,n)-mer' - A Simple Statistical Feature for Sequence Classification

Multivariate Analysis of Genotype–Phenotype Association and Visualization for 3D Image

Repetitive Element Methylation Prediction

'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog

R front-end for TASSEL

R Front-End for TASSEL

R front-end for the practical haplotype graph

R Interface with InterMine-Powered Databases

R package for Manhattan Plots

rqt: utilities for gene-level meta-analysis

SISPA: Method for Sample Integrated Set Profile Analysis

Standardise summary statistics from GWAS

Summarization and expression/phenotype association of CNV ranges

Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide Association Studies Using Canonical Correlation Analysis

Tools for Testing Gene-Gene Interaction at the Gene Level

Tumor subclonality of expression-based cancer subtypes

Visualization Tool for GWAS Result

Biocview "GenomeWideAssociation"

R Package Documentation

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