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Automated quality control for genome wide association studies
This paper provides details on the necessary steps to assess and control data in genome wide association studies (GWAS) using genotype information on a large number of genetic markers for large number of individuals. Due to varied study designs and genotyping platforms between multiple sites/project...
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| Publicat a: | F1000Res |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
F1000Research
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5007749/ https://ncbi.nlm.nih.gov/pubmed/27635224 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.9271.1 |
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