Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations.

Alexandre Amlie-Wolf,Pavel P Kuksa,Chien-Yueh Lee,Elisabeth Mlynarski,Yuk Yee Leung,Li-San Wang

FUNCTIONAL ANALYSIS OF LONG NON-CODING RNAS: Methods and Protocols（2021）

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摘要

The INFERNO method provides an integrative computational framework for characterizing the causal variants, tissue contexts, affected regulatory mechanisms, and target genes underlying noncoding genetic variants associated with any phenotype or disease of interest. Here we describe the computational steps required to run the full INFERNO pipeline on any dataset of interest.

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关键词

Bioinformatics,Computational biology,Enhancers,Genomics,INFERNO,Noncoding genetics,Regulatory variation,eQTL,lncRNA

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