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High-Performance Mixed Models Based Genome-Wide Association Analysis with omicABEL software
To raise the power of genome-wide association studies (GWAS) and avoid false-positive results in structured populations, one can rely on mixed model based tests. When large samples are used, and when multiple traits are to be studied in the ’omics’ context, this approach becomes computationally chal...
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| Veröffentlicht in: | F1000Res |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
F1000Research
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4329600/ https://ncbi.nlm.nih.gov/pubmed/25717363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.4867.1 |
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