التفاصيل البيبلوغرافية
| العنوان: |
GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing |
| المؤلفون: |
Ravi Mathur, Fang Fang, Nathan Gaddis, Dana B. Hancock, Michael H. Cho, John E. Hokanson, Laura J. Bierut, Sharon M. Lutz, Kendra Young, Albert V. Smith, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Edwin K. Silverman, Grier P. Page, Eric O. Johnson |
| المصدر: |
Communications Biology, Vol 5, Iss 1, Pp 1-9 (2022) |
| بيانات النشر: |
Nature Portfolio, 2022. |
| سنة النشر: |
2022 |
| المجموعة: |
LCC:Biology (General) |
| مصطلحات موضوعية: |
Biology (General), QH301-705.5 |
| الوصف: |
GAWMerge is a computational tool that allows users to integrate SNP genotyping data from array techniques or whole-genome sequencing, providing a feasible method to leverage existing cohorts to increase sample size in genetic studies. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2399-3642 |
| Relation: |
https://doaj.org/toc/2399-3642 |
| DOI: |
10.1038/s42003-022-03738-6 |
| URL الوصول: |
https://doaj.org/article/0ca1f1a607004384bdf4ce1cd35b80e5 |
| رقم الانضمام: |
edsdoj.0ca1f1a607004384bdf4ce1cd35b80e5 |
| قاعدة البيانات: |
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