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    • 4. 发明申请
    • MODIFYING A COSMETIC PRODUCT BASED ON A MICROBE PROFILE
    • 基于MICROBE配置文件修改化妆品
    • WO2015027061A1
    • 2015-02-26
    • PCT/US2014/052086
    • 2014-08-21
    • ELWHA LLCBAYM, Michael H.LEUTHARDT, Eric C.WOOD, Lowell L., Jr.
    • BAYM, Michael H.LEUTHARDT, Eric C.WOOD, Lowell L., Jr.HYDE, Roderick A.KARE, Jordin T.MCKNIGHT, Gary L.PAN, Tony S.SWEENEY, Elizabeth A.TEGREENE, Clarence T.
    • G06F19/10
    • G06F19/706
    • Systems and methods are described for modifying a cosmetic product based on a microbe profile including an ingredient-microbe interaction dataset including information associated with interactions between reference cosmetic ingredients and types of reference microbes; and a computing device including circuitry configured to receive information associated with the microbe profile of an individual, receive information associated with an ingredient list of the cosmetic product, compare the microbe profile of the individual and the ingredient list of the cosmetic product to the ingredient-microbe interaction dataset, identify an interaction between at least one cosmetic ingredient in the ingredient list of the cosmetic product and at least one of the one or more types of microbes in the microbe profile of the individual, recommend a modification to the ingredient list in response to an identified interaction, and report to a user the recommended modification.
    • 描述了用于基于包括成分 - 微生物相互作用数据集在内的微生物分布修饰化妆品的系统和方法,所述成分 - 微生物相互作用数据集包括与参考化妆品成分与参考微生物类型之间的相互作用相关的信息; 以及计算设备,包括被配置为接收与个体的微生物谱相关联的信息的电路,接收与化妆品的成分列表相关联的信息,将所述个体的微生物谱和所述化妆品的成分列表与成分 - 微生物相互作用数据集,鉴定化妆品的成分列表中的至少一种化妆品成分与个体的微生物概况中的一种或多种类型的微生物中的至少一种之间的相互作用,推荐对成分列表进行响应 到一个识别的交互,并向用户报告推荐的修改。
    • 10. 发明申请
    • COMPRESSING, STORING AND SEARCHING SEQUENCE DATA
    • 压缩,存储和搜索序列数据
    • WO2013096620A1
    • 2013-06-27
    • PCT/US2012/070945
    • 2012-12-20
    • BAYM, Michael, H.LEIGHTON, Bonnie, BergerLOH, Po-Ru
    • BAYM, Michael, H.LEIGHTON, Bonnie, BergerLOH, Po-Ru
    • G06F17/30G06F9/06G06F17/40G06F9/30
    • G06F19/28H03M7/3062
    • The redundancy in genomic sequence data is exploited by compressing sequence data in such a way as to allow direct computation on the compressed data using methods that are referred to herein as "compressive" algorithms. This approach reduces the task of computing on many similar genomes to only slightly more than that of operating on just one. In this approach, the redundancy among genomes is translated into computational acceleration by storing genomes in a compressed format that respects the structure of similarities and differences important to analysis. Specifically, these differences are the nucleotide substitutions, insertions, deletions, and rearrangements introduced by evolution. Once such a compressed library has been created, analysis is performed on it in time proportional to its compressed size, rather than having to reconstruct the full data set every time one wishes to query it.
    • 通过压缩序列数据来利用基因组序列数据中的冗余,以便允许使用本文中称为“压缩”算法的方法对压缩数据进行直接计算。 这种方法减少了许多类似基因组的计算任务,只比仅在一个基因组上运行的任务多一些。 在这种方法中,基因组之间的冗余通过将基因组以相对于分析重要的相似性和差异结构的压缩格式存储而转化为计算加速度。 具体来说,这些差异是由进化引入的核苷酸替代,插入,缺失和重排。 一旦创建了这样一个压缩库,就可以及时对其进行分析,与其压缩大小成比例,而不是每次希望查询完整的数据集时,重新构建完整的数据集。