Gimpute: an efficient genetic data imputation pipeline

Genotype imputation is essential for genome-wide association studies (GWAS) to retrieve information of untyped variants and facilitate comp

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Bibliographic Details
Main Authors:	Chen, Junfang (Author) , Lippold, Dietmar (Author) , Frank, Josef (Author) , Rayner, William (Author) , Meyer-Lindenberg, Andreas (Author) , Schwarz, Emanuel (Author)
Format:	Article (Journal)
Language:	English
Published:	19 September 2018
In:	Bioinformatics Year: 2019, Volume: 35, Issue: 8, Pages: 1433-1435
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/bty814
Online Access:	Verlag, Volltext: https://doi.org/10.1093/bioinformatics/bty814 Verlag, Pay-per-use, Volltext: https://academic.oup.com/bioinformatics/article/35/8/1433/5102867
Author Notes:	Junfang Chen, Dietmar Lippold, Josef Frank, William Rayner, Andreas Meyer-Lindenberg and Emanuel Schwarz

Description
Summary:	Genotype imputation is essential for genome-wide association studies (GWAS) to retrieve information of untyped variants and facilitate comp
Item Description:	Gesehen am 14.11.2019
Physical Description:	Online Resource
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/bty814