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.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms15311 |