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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...

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Detalles Bibliográficos
Autores principales: Ocaña, Kary, de Oliveira, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
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