Identifying and mitigating batch effects in whole genome sequencing data

Identifying and mitigating batch effects in whole genome sequencing data

Abstract Background Large sample sets of whole genome sequencing with deep coverage are being generated, however assembling datasets from different sources inevitably introduces batch effects. These batch effects are not well understood and can be due to changes in the sequencing protocol or bioinfo...

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Bibliographic Details
Main Authors: Jennifer A. Tom, Jens Reeder, William F. Forrest, Robert R. Graham, Julie Hunkapiller, Timothy W. Behrens, Tushar R. Bhangale
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Bioinformatics
Subjects:
Whole genome sequencing
Genotyping
Genome-wide association studies
Batch effects
Online Access:http://link.springer.com/article/10.1186/s12859-017-1756-z

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http://link.springer.com/article/10.1186/s12859-017-1756-z

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