hakyimlab / summary-gwas-imputationLinks
harmonization, liftover, and imputation of summary statistics from GWAS
☆33Updated 4 years ago
Alternatives and similar repositories for summary-gwas-imputation
Users that are interested in summary-gwas-imputation are comparing it to the libraries listed below
Sorting:
- Estimate genetic correlation using predicted expression☆22Updated 7 years ago
- GWAS genetics Fine-mapping method☆24Updated 9 months ago
- Colocalization analysis of genetic association signals☆52Updated last month
- Primo☆16Updated 3 years ago
- Code supporting analyses in paper on fine-mapping AD loci☆15Updated 4 years ago
- ☆33Updated 2 years ago
- Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.☆42Updated 7 years ago
- Regional association plots☆25Updated last year
- GENI plots to visualise results from genome-wide association studies☆29Updated 9 months ago
- Manhattan++☆28Updated last year
- Mediated Expression Score Regression (MESC)☆26Updated 3 years ago
- ☆23Updated 3 years ago
- A collection of various utilities for GWAS summary statistics☆28Updated last year
- Create Regional Association Plots☆12Updated 11 months ago
- ☆23Updated 6 months ago
- software package for integrative genetic association analysis☆34Updated 2 years ago
- Leveraging functional information to improve GWAS summary statistic imputation☆19Updated 3 years ago
- FOCUS: Fine-mapping Of CaUsal gene Sets☆45Updated last year
- This software tool implements the OPERA (omics pleiotropic association) method to test for combinatorial pleiotropic associations of mole…☆36Updated 9 months ago
- Create LocusZoom-style plots in R.☆22Updated 2 years ago
- LocusCompare is an interactive visualization tool for comparing two genetic association datasets.☆21Updated 2 years ago
- Descriptions/scripts for pre-process and processed data for FUMA cell specificity analyses (scRNA-seq)☆23Updated 5 years ago
- Pipeline for multiplex computing of statistical colocalization via COLOC between GWAS and QTL data.☆18Updated 2 years ago
- A comprehensive pipeline for post-GWAS analysis leveraging diverse types of omics data☆29Updated 2 years ago
- ☆21Updated 3 months ago
- Fine-mapping method only using summary statistics☆19Updated 9 years ago
- Post-GWAS enrichment, colocalization, TWAS and Mendelian Randomization to integrate molecular QTL and GWAS.☆27Updated last week
- An R package for creating ggplot2 based miami plots.☆17Updated 4 months ago
- QTL Discovery using Annotations☆25Updated 2 years ago
- ☆35Updated 4 years ago