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1. 发明申请

US20170005787A1 DEVICE, SYSTEM AND METHOD FOR SECURING AND COMPARING GENOMIC DATA 有权
标题翻译：用于保护和比较基因组数据的装置，系统和方法
公开(公告)号：US20170005787A1
公开(公告)日：2017-01-05
申请号：US15269611
申请日：2016-09-19
申请人： GENFORMATIC, LLC
发明人： Daniel WEAVER , Justin MACCARTHY , Stephen AYERS , Justin REESE
IPC分类号： H04L9/00 , G06F19/00 , G06F19/22 , G06F19/28 , G06F21/62 , G06F17/30
CPC分类号： H04L9/008 , G06F19/00 , G06F19/22 , G06F19/28 , G06F21/6245 , G06F21/6254 , G16H50/30 , H04L2209/88
摘要： The present disclosure presents methods, systems, and devices for encrypting and comparing genomic data. The comparison of genomic data allows the owner of the data to ensure security of the data even when the party conducting the comparison is beyond the control of the owner of the data. The encryption of the genomic data enables the transmission, storage, and use of the genomic data in a secure media.
摘要翻译：本公开提供用于加密和比较基因组数据的方法，系统和装置。基因组数据的比较允许数据所有者确保数据的安全性，即使进行比较的一方超出数据所有者的控制权。基因组数据的加密使得能够在安全介质中传输，存储和使用基因组数据。

2. 发明申请

US20210174907A1 METHOD OF MACHINE LEARNING, EMPLOYING BAYESIAN LATENT CLASS INFERENCE: COMBINING MULTIPLE GENOMIC FEATURE DETECTION ALGORITHMS TO PRODUCE AN INTEGRATED GENOMIC FEATURE SET WITH SPECIFICITY, SENSITIVITY AND ACCURACY 有权
公开(公告)号：US20210174907A1
公开(公告)日：2021-06-10
申请号：US16926468
申请日：2020-07-10
申请人： GENFORMATIC LLC
发明人： Aaron J. MACKEY , Brandi CANTAREL , Justin REESE , Daniel B. WEAVER
IPC分类号： G16B40/00 , G06N7/00
摘要： BAYSIC (BAYesian System for Integrated Combination) combines sets of genomic and other biological data features to optimize selected data feature attributes, for example, detecting genome variants including single nucleotide variants (SNVs) and small insertion/deletions in genomes. The present disclosure presents one possible embodiment employing BAYSIC to combine single nucleotide variants detected by several distinct variant calling methods into an integrated SNV call set that is more accurate than any single SNV calling method or any ad hoc method of combining call sets. BAYSIC is a, tested and validated method using unsupervised machine learning, employing Bayesian latent class inference to combine variant sets produced by different packages.

3. 发明授权

US09449191B2 Device, system and method for securing and comparing genomic data 有权
标题翻译：用于确保和比较基因组数据的设备，系统和方法
公开(公告)号：US09449191B2
公开(公告)日：2016-09-20
申请号：US14356137
申请日：2012-11-05
申请人： GENFORMATIC, LLC
发明人： Justin MacCarthy , Stephen Ayers , Daniel Weaver , Justin Reese
IPC分类号： G06F21/00 , G06F21/62 , G06F19/22 , G06F17/30 , H04L9/00 , H04L9/08 , H04L9/32 , G06F19/28
CPC分类号： G06F21/6245 , G06F19/22 , G06F19/28 , G06F21/62 , G06F2221/2107 , H04L9/008 , H04L9/0894 , H04L9/3231 , H04L2209/88
摘要： The present disclosure presents methods, systems, and devices for encrypting and comparing genomic data. The comparison of genomic data allows the owner of the data to ensure security of the data even when the party conducting the comparison is beyond the control of the owner of the data. The encryption of the genomic data enables the transmission, storage, and use of the genomic data in a secure media.
摘要翻译：本公开提供用于加密和比较基因组数据的方法，系统和装置。基因组数据的比较允许数据所有者确保数据的安全性，即使进行比较的一方超出数据所有者的控制权。基因组数据的加密使得能够在安全介质中传输，存储和使用基因组数据。

4. 发明申请

US20140143188A1 METHOD OF MACHINE LEARNING, EMPLOYING BAYESIAN LATENT CLASS INFERENCE: COMBINING MULTIPLE GENOMIC FEATURE DETECTION ALGORITHMS TO PRODUCE AN INTEGRATED GENOMIC FEATURE SET WITH SPECIFICITY, SENSITIVITY AND ACCURACY 审中-公开
标题翻译：机器学习方法，采用贝叶斯专利级别：组合多种基因特征检测算法，生成具有特殊性，灵敏度和准确度的综合基因组特征
公开(公告)号：US20140143188A1
公开(公告)日：2014-05-22
申请号：US14083356
申请日：2013-11-18
申请人： GENFORMATIC, LLC
发明人： Aaron J. MACKEY , Brandi CANTAREL , Justin REESE , Daniel B. WEAVER
IPC分类号： G06F19/24 , G06N99/00 , G06N7/00
CPC分类号： G16B40/00 , G06N7/005 , G16B20/00
摘要： BAYSIC (BAYesian System for Integrated Combination) combines sets of genomic and other biological data features to optimize selected data feature attributes, for example, detecting genome variants including single nucleotide variants (SNVs) and small insertion/deletions in genomes. The present disclosure presents one possible embodiment employing BAYSIC to combine single nucleotide variants detected by several distinct variant calling methods into an integrated SNV call set that is more accurate than any single SNV calling method or any ad hoc method of combining call sets. BAYSIC is a, tested and validated method using unsupervised machine learning, employing Bayesian latent class inference to combine variant sets produced by different packages.
摘要翻译： BAYSIC（BAYSIC综合组合系统）结合了基因组和其他生物数据特征，以优化选定的数据特征属性，例如检测基因组变体，包括单核苷酸变体（SNV）和基因组中的小插入/缺失。本公开提供了采用BAYSIC将通过几种不同变体呼叫方法检测的单核苷酸变体组合到比任何单一SNV调用方法或任何组合呼叫集合的任何ad hoc方法更精确的综合SNV呼叫集合的一个可能实施例。 BAYSIC是一种使用无监督机器学习的测试和验证方法，采用贝叶斯潜在类推理来组合由不同软件包生成的变体集。

5. 发明申请

US20190333604A1 METHOD AND APPARATUS FOR IDENTIFICATION OF BIOMOLECULES 审中-公开
公开(公告)号：US20190333604A1
公开(公告)日：2019-10-31
申请号：US16292188
申请日：2019-03-04
申请人： GENFORMATIC, LLC
发明人： Daniel B. WEAVER , Justin T. REESE
IPC分类号： G16B30/00 , G16B40/00 , G01N33/68 , G16B20/00 , G16B5/00
摘要： The present disclosure presents methods, systems, and devices for dentifying new molecules directly from biological sequence information, with at least one of a desired bioactivity profile, functional attribute, biochemical reactivity, biological impact, pharmacological characteristic or therapeutic effect. The present disclosure further includes analyzing, at the processor, data features of biological sequence information and other data sources, including a feature-definition set by processing, using one or more bioinformatic techniques, computational algorithms, or methods of statistical machine learning, data sources relating to biological or chemical molecules, including biomolecules, including but not limited to peptides, having desired physical or chemical characteristics, bioactivities, functional attributes, biological impacts, pharmacologic properties or therapeutic effects.

6. 发明申请

US20130252280A1 METHOD AND APPARATUS FOR IDENTIFICATION OF BIOMOLECULES 审中-公开
标题翻译：用于鉴定生物分子的方法和装置
公开(公告)号：US20130252280A1
公开(公告)日：2013-09-26
申请号：US13789668
申请日：2013-03-07
申请人： GENFORMATIC, LLC
发明人： Daniel B. WEAVER , Justin T. REESE
IPC分类号： G01N33/68 , G06F19/12
CPC分类号： G16B30/00 , G01N33/6803 , G16B5/00 , G16B20/00 , G16B40/00
摘要： The present disclosure presents methods, systems, and devices for dentifying new molecules directly from biological sequence information, with at least one of a desired bioactivity profile, functional attribute, biochemical reactivity, biological impact, pharmacological characteristic or therapeutic effect. The present disclosure further includes analyzing, at the processor, data features of biological sequence information and other data sources, including a feature-definition set by processing, using one or more bioinformatic techniques, computational algorithms, or methods of statistical machine learning, data sources relating to biological or chemical molecules, including biomolecules, including but not limited to peptides, having desired physical or chemical characteristics, bioactivities, functional attributes, biological impacts, pharmacologic properties or therapeutic effects.
摘要翻译：本公开提供了用生物序列信息直接对新分子进行牙齿修复的方法，系统和装置，具有期望的生物活性概况，功能属性，生化反应性，生物学影响，药理学特征或治疗效果中的至少一种。本公开还包括在处理器处，使用一个或多个生物信息学技术，计算算法或统计机器学习的方法来分析生物序列信息和其它数据源的数据特征，包括通过处理的特征定义集，数据源包括生物分子，包括但不限于具有所需物理或化学特性，生物活性，功能属性，生物学影响，药理学特性或治疗效果的肽的生物分子。

7. 发明授权

US10223499B2 Method and apparatus for identification of biomolecules 有权
公开(公告)号：US10223499B2
公开(公告)日：2019-03-05
申请号：US14935331
申请日：2015-11-06
申请人： GENFORMATIC, LLC
发明人： Daniel B. Weaver , Justin T. Reese
IPC分类号： G06F19/00 , G06F19/22 , G01N33/68 , G06F19/12 , G06F19/18 , G06F19/24
摘要： The present disclosure presents methods, systems, and devices for identifying new molecules directly from biological sequence information, with at least one of a desired bioactivity profile, functional attribute, biochemical reactivity, biological impact, pharmacological characteristic or therapeutic effect. The present disclosure further includes analyzing, at the processor, data features of biological sequence information and other data sources, including a feature-definition set by processing, using one or more bioinformatic techniques, computational algorithms, or methods of statistical machine learning, data sources relating to biological or chemical molecules, including biomolecules, including but not limited to peptides, having desired physical or chemical characteristics, bioactivities, functional attributes, biological impacts, pharmacologic properties or therapeutic effects.

8. 发明授权

US09935765B2 Device, system and method for securing and comparing genomic data 有权
公开(公告)号：US09935765B2
公开(公告)日：2018-04-03
申请号：US15269611
申请日：2016-09-19
申请人： GENFORMATIC, LLC
发明人： Daniel Weaver , Justin MacCarthy , Stephen Ayers , Justin Reese
IPC分类号： G06F21/00 , H04L9/00 , G06F21/62 , G06F19/22 , G06F19/28 , G06F19/00
CPC分类号： H04L9/008 , G06F19/00 , G06F19/22 , G06F19/28 , G06F21/6245 , G06F21/6254 , G16H50/30 , H04L2209/88
摘要： The present disclosure presents methods, systems, and devices for encrypting and comparing genomic data. The comparison of genomic data allows the owner of the data to ensure security of the data even when the party conducting the comparison is beyond the control of the owner of the data. The encryption of the genomic data enables the transmission, storage, and use of the genomic data in a secure media.

9. 发明申请

US20140289536A1 DEVICE, SYSTEM AND METHOD FOR SECURING AND COMPARING GENOMIC DATA 有权
标题翻译：用于保护和比较基因组数据的装置，系统和方法
公开(公告)号：US20140289536A1
公开(公告)日：2014-09-25
申请号：US14356137
申请日：2012-11-05
申请人： GENFORMATIC, LLC
发明人： Justin MacCarthy , Stephen Ayers , Daniel Weaver , Justin Reese
IPC分类号： G06F21/62 , G06F17/30 , G06F19/22
CPC分类号： G06F21/6245 , G06F19/22 , G06F19/28 , G06F21/62 , G06F2221/2107 , H04L9/008 , H04L9/0894 , H04L9/3231 , H04L2209/88
摘要： The present disclosure presents methods, systems, and devices for encrypting and comparing genomic data. The comparison of genomic data allows the owner of the data to ensure security of the data even when the party conducting the comparison is beyond the control of the owner of the data. The encryption of the genomic data enables the transmission, storage, and use of the genomic data in a secure media.
摘要翻译：本公开提供用于加密和比较基因组数据的方法，系统和装置。基因组数据的比较允许数据所有者确保数据的安全性，即使进行比较的一方超出数据所有者的控制权。基因组数据的加密使得能够在安全介质中传输，存储和使用基因组数据。

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