1. Gimpute: an efficient genetic data imputation pipeline.
- Author
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Chen J, Lippold D, Frank J, Rayner W, Meyer-Lindenberg A, and Schwarz E
- Subjects
- Genome, Genotype, Haplotypes, Genome-Wide Association Study, Software
- Abstract
Motivation: Genotype imputation is essential for genome-wide association studies (GWAS) to retrieve information of untyped variants and facilitate comparability across studies. However, there is a lack of automated pipelines that perform all required processing steps prior to and following imputation., Results: Based on widely used and freely available tools, we have developed Gimpute, an automated processing and imputation pipeline for genome-wide association data. Gimpute includes processing steps for genotype liftOver, quality control, population outlier detection, haplotype pre-phasing, imputation, post imputation, data management and the extension to other existing pipeline., Availability and Implementation: The Gimpute package is an open source R package and is freely available at https://github.com/transbioZI/Gimpute., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2019
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