HAPPI GWAS: Holistic Analysis with Pre- and Post-Integration GWAS

Slaten, ML; Chan, YO; Shrestha, V; Lipka, AE; Angelovici, R

Angelovici, R (corresponding author), Univ Missouri, MU Inst Data Sci & Informat, Div Biol Sci, Columbia, MO 65211 USA.

BIOINFORMATICS, 2020; 36 (17): 4655

Abstract

Motivation: Advanced publicly available sequencing data from large populations have enabled informative genome-wide association studies (GWAS) that as......

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