A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy
Outsourcing computation for genomic data processing offers the ability to allocate massive computing power and storage on demand. Here, Popic and Batzoglou develop a hybrid cloud aligner for sequence read mapping that preserves privacy with competitive accuracy and speed.
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/f12371efc37a4a2faebcef4b70566fa3 |
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| Sumario: | Outsourcing computation for genomic data processing offers the ability to allocate massive computing power and storage on demand. Here, Popic and Batzoglou develop a hybrid cloud aligner for sequence read mapping that preserves privacy with competitive accuracy and speed. |
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