Topic: gwas-summary-statistics Goto Github
Some thing interesting about gwas-summary-statistics
Some thing interesting about gwas-summary-statistics
gwas-summary-statistics,A simple GWAS parser + CLI
User: abought
gwas-summary-statistics,Explore SNVs associated with any of UK BioBank Phenotypes, results were made publicly available by: http://www.nealelab.is/uk-biobank
User: adrn-s
gwas-summary-statistics,R code used for the master thesis entitled "Germline variants associated with prognosis of patients with non muscle invasive bladder cancer".
User: amorenooya
gwas-summary-statistics,Tool for integrative gene-based association analysis using GWAS summary stats
User: corbinq
gwas-summary-statistics,Julia implementation of Ge et al's PRScs
User: garethmarkel
gwas-summary-statistics,BWMR (Bayesian Weighted Mendelian Randomization)
User: jiazhao97
gwas-summary-statistics,HESS pipeline
User: jinghuazhao
Home Page: https://jinghuazhao.github.io/hess-pipeline/
gwas-summary-statistics,Format of GWAS summary statistics.
User: jinghuazhao
Home Page: https://jinghuazhao.github.io/SUMSTATS/
gwas-summary-statistics,TWAS-pipeline
User: jinghuazhao
Home Page: https://jinghuazhao.github.io/TWAS-pipeline/
gwas-summary-statistics,GWAS summary statistics files QC tool
User: kukuster
Home Page: https://doi.org/10.1186/s12859-022-04920-7
gwas-summary-statistics,Code and simulations using interaction-LD score regression
Organization: lcrawlab
Home Page: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/W6MA8J
gwas-summary-statistics,tool for probabilistic correction of Winner's Curse in two-stage GWAS
User: lightning-auriga
gwas-summary-statistics,Software to infer latent pleiotropic components from GWAS summary data
Organization: mancusolab
gwas-summary-statistics,Python package for reading, combining, meta-analyzing, and saving GWAS summary statistics data.
User: matthijsz
gwas-summary-statistics,Older repo for MRLocus. See new website for software usage guide:
User: mikelove
Home Page: https://thelovelab.github.io/mrlocus
gwas-summary-statistics,Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
User: naim-panjwani
Home Page: https://locusfocus.research.sickkids.ca
gwas-summary-statistics,Script for designing a manhattan plot.
User: priyalakr
gwas-summary-statistics,Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.
User: raydebashree
gwas-summary-statistics,A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics
User: raydebashree
gwas-summary-statistics,Polygenic risk modeling with latent trait-related genetic components
Organization: rivas-lab
gwas-summary-statistics,MultiVariate Polygenic Mixture Model
Organization: rivas-lab
gwas-summary-statistics,Tools for preprocessing, QC, and preliminary analyses from raw UK BioBank data
Organization: rivas-lab
gwas-summary-statistics,Make interactive LocusZoom plots from a local GWAS file
Organization: statgen
Home Page: https://statgen.github.io/localzoom/
gwas-summary-statistics,A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.
Organization: statgen
Home Page: https://statgen.github.io/locuszoom/
gwas-summary-statistics,A web service to upload and share GWAS results with LocusZoom.js
Organization: statgen
Home Page: https://my.locuszoom.org
gwas-summary-statistics,Regression with Summary Statistics.
Organization: stephenslab
Home Page: https://stephenslab.github.io/rss
gwas-summary-statistics,Easy and simple mendelian randomization pipeline using GWAS summary statistics.
User: sung-bong-kang
gwas-summary-statistics,Regression with Summary Statistics exploiting Network Topology.
Organization: suwonglab
Home Page: https://suwonglab.github.io/rss-net/
gwas-summary-statistics,A Recalibrated Hypothesis Test for SNP-Level Summary Statistics
User: weichengv
gwas-summary-statistics,A collection of Go scripts to create a database of potential somatic artifacts in the TOPMed germline calls.
User: weinstockj
gwas-summary-statistics,Full results to accompany Zhu and Stephens (2018).
User: xiangzhu
Home Page: https://xiangzhu.github.io/rss-gsea/
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