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On the association analysis of genome-sequencing data: A spatial clustering approach for partitioning the entire genome into nonoverlapping windows
For the association analysis of whole-genome sequencing (WGS) studies, we propose an efficient and fast spatial-clustering algorithm. Compared to existing analysis approaches for WGS data, that define the tested regions either by sliding or consecutive windows of fixed sizes along variants, a meanin...
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| Yayımlandı: | Genet Epidemiol |
|---|---|
| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5525021/ https://ncbi.nlm.nih.gov/pubmed/28318110 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.22040 |
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