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.
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Updated
Jun 18, 2023 - Shell
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.
PhenoPLIER
Tool for integrative gene-based association analysis using GWAS summary stats
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Optimizing transcriptome prediction models for use in multi-ethnic TWAS using multivariate adaptive shrinkage.
Analysis of transcriptome imputation using paired genotype-expression data from SAGE and GEUVADIS
开源的水稻核心组学 + 育种分析技能库 — 18 个分析模块、130 个 R/Python 脚本 + 23 个 shell 封装、541 个精选 agent 技能;覆盖 FASTQ→counts、差异/时间序列、GWAS/TWAS/MR/fine-mapping、mGWAS、泛基因组/T2T、单细胞/空间、编辑设计、CNS 级绘图与论文写作;含方案确认、依赖体检、CI 与工作流导出。
tool for continuously integrated meta-resource
A generalized pipeline for evaluating variant effect predictors by using their scores as biological priors in TWAS/PWAS
End-to-end TWAS pipeline for Alzheimer's disease integrating Kunkle et al. (2019) GWAS summary statistics with GTEx v8 MASHR brain eQTL models to identify causal genes via cross-tissue omnibus regression and functional pathway over-representation analysis.
Proof-governed Agent Skill for Mendelian randomization, shared genetics, claim boundaries, manuscript QA, and submission handoff.
Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
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