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 |
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Nature Portfolio
2017-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms15311 |
| _version_ | 1819129232006053888 |
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| author | Victoria Popic Serafim Batzoglou |
| author_facet | Victoria Popic Serafim Batzoglou |
| author_sort | Victoria Popic |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T08:40:26Z |
| format | Article |
| id | doaj.art-f12371efc37a4a2faebcef4b70566fa3 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-22T08:40:26Z |
| publishDate | 2017-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-f12371efc37a4a2faebcef4b70566fa32022-12-21T18:32:15ZengNature PortfolioNature Communications2041-17232017-05-01811710.1038/ncomms15311A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacyVictoria Popic0Serafim Batzoglou1Department of Computer Science, Stanford UniversityDepartment of Computer Science, Stanford UniversityOutsourcing 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.https://doi.org/10.1038/ncomms15311 |
| spellingShingle | Victoria Popic Serafim Batzoglou A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy Nature Communications |
| title | A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy |
| title_full | A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy |
| title_fullStr | A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy |
| title_full_unstemmed | A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy |
| title_short | A hybrid cloud read aligner based on MinHash and kmer voting that preserves privacy |
| title_sort | hybrid cloud read aligner based on minhash and kmer voting that preserves privacy |
| url | https://doi.org/10.1038/ncomms15311 |
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