Secure Genomic Computation through Site-Wise Encryption
Commercial clouds provide on-demand IT services for big-data analysis, which have become an attractive option for users who have no access to comparable infrastructure. However, utilizing these services for human genome analysis is highly risky, as human genomic data contains identifiable informatio...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
American Medical Informatics Association
2015
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525260/ |
| id |
pubmed-4525260 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-45252602015-08-24 Secure Genomic Computation through Site-Wise Encryption Zhao, Yongan Wang, XiaoFeng Tang, Haixu Articles Commercial clouds provide on-demand IT services for big-data analysis, which have become an attractive option for users who have no access to comparable infrastructure. However, utilizing these services for human genome analysis is highly risky, as human genomic data contains identifiable information of human individuals and their disease susceptibility. Therefore, currently, no computation on personal human genomic data is conducted on public clouds. To address this issue, here we present a site-wise encryption approach to encrypt whole human genome sequences, which can be subject to secure searching of genomic signatures on public clouds. We implemented this method within the Hadoop framework, and tested it on the case of searching disease markers retrieved from the ClinVar database against patients’ genomic sequences. The secure search runs only one order of magnitude slower than the simple search without encryption, indicating our method is ready to be used for secure genomic computation on public clouds. American Medical Informatics Association 2015-03-23 /pmc/articles/PMC4525260/ /pubmed/26306278 Text en ©2015 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Zhao, Yongan Wang, XiaoFeng Tang, Haixu |
| spellingShingle |
Zhao, Yongan Wang, XiaoFeng Tang, Haixu Secure Genomic Computation through Site-Wise Encryption |
| author_facet |
Zhao, Yongan Wang, XiaoFeng Tang, Haixu |
| author_sort |
Zhao, Yongan |
| title |
Secure Genomic Computation through Site-Wise Encryption |
| title_short |
Secure Genomic Computation through Site-Wise Encryption |
| title_full |
Secure Genomic Computation through Site-Wise Encryption |
| title_fullStr |
Secure Genomic Computation through Site-Wise Encryption |
| title_full_unstemmed |
Secure Genomic Computation through Site-Wise Encryption |
| title_sort |
secure genomic computation through site-wise encryption |
| description |
Commercial clouds provide on-demand IT services for big-data analysis, which have become an attractive option for users who have no access to comparable infrastructure. However, utilizing these services for human genome analysis is highly risky, as human genomic data contains identifiable information of human individuals and their disease susceptibility. Therefore, currently, no computation on personal human genomic data is conducted on public clouds. To address this issue, here we present a site-wise encryption approach to encrypt whole human genome sequences, which can be subject to secure searching of genomic signatures on public clouds. We implemented this method within the Hadoop framework, and tested it on the case of searching disease markers retrieved from the ClinVar database against patients’ genomic sequences. The secure search runs only one order of magnitude slower than the simple search without encryption, indicating our method is ready to be used for secure genomic computation on public clouds. |
| publisher |
American Medical Informatics Association |
| publishDate |
2015 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525260/ |
| _version_ |
1613255915286298624 |