qlu-lab / SUPERGNOVALinks
☆27Updated 3 years ago
Alternatives and similar repositories for SUPERGNOVA
Users that are interested in SUPERGNOVA are comparing it to the libraries listed below
Sorting:
- Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.☆42Updated 7 years ago
- ☆19Updated last year
- A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics☆34Updated last week
- R package for performing high dimensional multi-trait colocalization analyses using GWAS summary data☆53Updated 4 years ago
- PHESANT - PHEnome Scan ANalysis Tool (pheWAS, Mendelian randomisation (MR)-pheWAS etc.) in UK Biobank☆19Updated 2 years ago
- A collection of various utilities for GWAS summary statistics☆27Updated last year
- xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs☆34Updated 4 months ago
- Post-GWAS enrichment, colocalization, TWAS and Mendelian Randomization to integrate molecular QTL and GWAS.☆27Updated last week
- A principled framework to estimate annotation-stratified genetic covariance using GWAS summary statistics.☆29Updated last year
- Code repository for Pietzner M, Wheeler E, et al. 2021 "Mapping the proteo-genomic convergence of human diseases"☆23Updated 3 years ago
- ☆33Updated 2 years ago
- harmonization, liftover, and imputation of summary statistics from GWAS☆32Updated 4 years ago
- GENI plots to visualise results from genome-wide association studies☆28Updated 8 months ago
- Partners Biobank genomics data QC☆26Updated 5 years ago
- R package for investigating clustered heterogeneity in Mendelian randomization (MR) analyses.☆17Updated 3 years ago
- Regional association plots☆26Updated last year
- Pleiotropy-informed conditional and conjunctional false discovery rate☆29Updated 3 weeks ago
- Hypothesis Prioritisation in multi-trait Colocalization☆54Updated last year
- ☆16Updated 4 months ago
- R script to make Manhattan-style plot for TWAS☆37Updated 3 years ago
- R package for CAUSE☆55Updated last year
- MA-FOCUS: Multi-Ancestry Fine-mapping Of CaUsal gene Sets☆32Updated last year
- ☆23Updated 3 weeks ago
- GWAS for survival analysis in large cohorts☆21Updated 11 months ago
- This is a pipeline for calculating weights for TWAS☆32Updated 2 years ago
- Perform cell-stratified MR analysis through integrating GWAS and QTL data☆29Updated 8 months ago
- FOCUS: Fine-mapping Of CaUsal gene Sets☆45Updated last year
- ☆57Updated 5 months ago
- ☆35Updated 4 years ago
- PUMICE: Prediction Using Models Informed by Chromatin conformations and Epigenomics☆12Updated last year