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Identifying and mitigating batch effects in whole genome sequencing data

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 bioinformatics...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Tom, Jennifer A., Reeder, Jens, Forrest, William F., Graham, Robert R., Hunkapiller, Julie, Behrens, Timothy W., Bhangale, Tushar R.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5525370/
https://ncbi.nlm.nih.gov/pubmed/28738841
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1756-z
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