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SparkBLAST: scalable BLAST processing using in-memory operations
BACKGROUND: The demand for processing ever increasing amounts of genomic data has raised new challenges for the implementation of highly scalable and efficient computational systems. In this paper we propose SparkBLAST, a parallelization of a sequence alignment application (BLAST) that employs cloud...
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5488373/ https://ncbi.nlm.nih.gov/pubmed/28655296 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1723-8 |
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