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Tracking the NGS revolution: managing life science research on shared high-performance computing clusters
BACKGROUND: Next-generation sequencing (NGS) has transformed the life sciences, and many research groups are newly dependent upon computer clusters to store and analyze large datasets. This creates challenges for e-infrastructures accustomed to hosting computationally mature research in other scienc...
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| Опубликовано в: : | Gigascience |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5928410/ https://ncbi.nlm.nih.gov/pubmed/29659792 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giy028 |
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