Using real genotype data, simulate a complex trait as a function of latent expression, fit eQTL weights in independent data, and perform GWAS/TWAS on complex trait.

TWAS-pipeline

R package for "Multi-tissue Transcriptome-Wide Association Studies (MTWAS)"

Tool for integrative gene-based association analysis using GWAS summary stats

PhenoPLIER

Epigenomewide Association Studies (EWAS) with FUnctional Summary-based ImputatiON (FUSION)

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

Summary-level Unified Method for Modeling Integrated Transcriptome

Analysis of transcriptome imputation using paired genotype-expression data from SAGE and GEUVADIS

tool for continuously integrated meta-resource

LocusXcanR: an R package that creates an R Shiny application that aids TWAS interpretation, can be extended to other ‘omics data, and highlights R Shiny’s effectiveness at presenting results in an approachable, interactive, and visual format.

Optimizing transcriptome prediction models for use in multi-ethnic TWAS using multivariate adaptive shrinkage.

client to the cimr-d database for continuous integration and analysis using cimr

Factored QTL analysis applied to GTEx and GWAS of 114 complex traits

RAISING: Automated deep learning framework

Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.