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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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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| 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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