Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations

Autor:	Chien-Yueh Lee, Li-San Wang, Pavel P. Kuksa, Elisabeth E. Mlynarski, Yuk Yee Leung, Alexandre Amlie-Wolf
Rok vydání:	2021
Předmět:	0303 health sciences Genetic variants Genomics Computational biology Biology Pipeline (software) Phenotype 03 medical and health sciences 0302 clinical medicine Expression quantitative trait loci Enhancer Gene 030217 neurology & neurosurgery 030304 developmental biology
Zdroj:	Methods in Molecular Biology ISBN: 9781071611579
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3973101fc00e533b44f16978fbbebb90 https://doi.org/10.1007/978-1-0716-1158-6_6 Zobrazit plný text záznamu