Skip to main content

Ctrl+K

FunGen-xQTL Computational Protocol

Getting started

Illustration of xQTL protocol

Command Generator

RNA-seq calling and QC
Univariate xQTL Discovery

Reference data

Reference Data

Molecular Phenotypes

RNA-seq expression
scRNA-seq expression calling
Alternative polyadenylation
- APA Calling
Methylation
- Quantification of methylation data
Alternative splicing from RNA-seq data
- Quantifying alternative splicing from RNA-seq data
- Normalization and phenotype table generation for splicingQTL analysis

Data Pre-processing

Genotype data preprocessing
Phenotype data preprocessing
Covariate Data Preprocessing
- Covariate Data Formatting
- Hidden Factor Analysis

QTL Association Testing

QTL Association Analysis
- QTL Association Testing
- APEX QTL association testing
QTL data postprocessing

Multivariate Mixture Model

Mixture Multivariate Distribution Estimate
- A multivariate EBNM approach for mixture multivariate distribution estimate
- MASH analysis pipeline with data-driven prior matrices

Fine-mapping and Prediction Model

Fine-Mapping

Multi-context causal TWAS

TWAS, cTWAS and MR

Colocalization

xQTL-GWAS pairwise enrichment and colocalization

Suggest edit
Open issue

.ipynb

scRNA-seq expression calling

scRNA-seq expression calling#

Coming up soon

previous

Bulk RNA-seq counts normalization

next

Alternative polyadenylation

By The NIH/NIA Alzheimer's Disease Sequencing Project Functional Genomics xQTL Consortium

© Copyright 2021+, FunGen xQTL Analysis Working Group.