Genotype imputation pipelines for the UK Biobank Research Analysis Platform

Imputation workflow for low coverage whole genome sequencing data

GRUD is a genotype imputation based on deep learning algorithms

MagicalRsq: Machine-learning-based genotype imputation quality calibration

Pipeline for variant imputation in low depth sequencing data using GLIMPSE

gwas workflow from raw intensity data to in-silico functional mapping

Supporting data for "Low-coverage whole genome sequencing for a highly selective cohort of severe COVID-19 patients"

Imputation and Admixture for lcWGS in one goal

Public description of LDGH Genotype Imputation v.2. pipeline developed in Phyton by Thiago Peixoto Leal, with the collaboration by Nathalia M. Araujo, Marilia Scliar and Ricardo Lyra. The user may choose to use SHAPEIT2 or SHAPEIT4 for haplotype inferences, and IMPUTE2 or IMPUTE4 for imputation. For further details or if you are interested in us…

imputation workflow for array data using shapeit2 and impute2

LCVCFtools is a program designed for working with VCF files generated from low-coverage whole genome sequencing

Imputation workflow for array-type bias correction when combining multiple genotyping array types