| Project/Area Number |
25540131
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Waseda University (2014-2015)
The University of Tokyo (2013) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
Shimizu Kana 早稲田大学, 理工学術院, 准教授 (60367050)
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| Co-Investigator(Renkei-kenkyūsha) |
Hanaoka Goichiro 独立行政法人産業技術総合研究所, 研究グループ長 (30415731)
Tsuda Koji 東京大学, 大学院新領域創成科学研究科, 教授 (90357517)
Frith Martin 産業技術総合研究所, 人工知能研究センター, 主任研究員 (40462832)
Asai Kiyoshi 東京大学, 大学院新領域創成科学研究科, 教授 (30356357)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | プライバシー保護 / 化合物検索 / アラインメント / 隠れマルコフモデル / PPDM / 配列アラインメント / 準同型暗号 / プライバシー / ゲノム / 化合物 / 暗号 / データベース検索 / 配列検索 |
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| Outline of Final Research Achievements |
It is highly demanded to deal with the information of personal genome and chemical compound secretly, because they are sensitive information that should not be leaked. On the other hand, from a viewpoint of "open" science, it is important to perform data-mining by combining those sensitive information with other data. In this study, we have developed several methods to perform data-mining, making those information secret. Specifically, we developed (i) privacy-preserving search for chemical database, (ii) privacy-preserving genome sequence search with hidden Markov Model (HMM) and (iii) privacy preserving sequence alignment, all of which will be useful toward open science of biology.
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