Gimpute: an efficient genetic data imputation pipeline.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
15 04 2019
15 04 2019
Historique:
received:
20
02
2018
revised:
09
08
2018
accepted:
18
09
2018
pubmed:
22
9
2018
medline:
19
2
2020
entrez:
22
9
2018
Statut:
ppublish
Résumé
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. 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. The Gimpute package is an open source R package and is freely available at https://github.com/transbioZI/Gimpute. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 30239591
pii: 5102867
doi: 10.1093/bioinformatics/bty814
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1433-1435Informations de copyright
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.