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Parallel computing in genomic research: advances and applications
Today’s genomic experiments have to process the so-called “biological big data” that is now reaching the size of Terabytes and Petabytes. To process this huge amount of data, scientists may require weeks or months if they use their own workstations. Parallelism techniques and high-performance comput...
Autores principales: | Ocaña, Kary, de Oliveira, Daniel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655901/ https://www.ncbi.nlm.nih.gov/pubmed/26604801 http://dx.doi.org/10.2147/AABC.S64482 |
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