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公开(公告)号:US11640405B2
公开(公告)日:2023-05-02
申请号:US17108372
申请日:2020-12-01
Applicant: Personalis, Inc.
Inventor: Gemma L. Chandratillake , Sarah K. Garcia , Richard Chen , Michael James Clark
IPC: G06F16/2457 , G16B50/00 , G16B20/20 , G06F16/248 , G16B20/00 , G16B50/10
Abstract: The disclosure provides methods and systems for analyzing genotype data. In some embodiments, a computer-implemented method comprises receiving data relating to one or more phenotypes of a subject or family members thereof, and ranking genes based on their association score with one or more phenotypes. Next, an output of the data is generated, the output comprising a comparison of the data based on the association score. The comparison can be in at least one of numeric and graphic form.
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公开(公告)号:US20160283484A1
公开(公告)日:2016-09-29
申请号:US15083058
申请日:2016-03-28
Applicant: Personalis, Inc.
Inventor: Gemma L. CHANDRATILLAKE , Sarah K. Garcia , Richard Chen , Michael James Clark
CPC classification number: G06F17/3053 , G06F17/30554 , G06F19/18 , G06F19/28
Abstract: The disclosure provides methods and systems for analyzing genotype data. In some embodiments, a computer-implemented method comprises receiving data relating to one or more phenotypes of a subject or family members thereof, and ranking genes based on their association score with one or more phenotypes. Next, an output of the data is generated, the output comprising a comparison of the data based on the association score. The comparison can be in at least one of numeric and graphic form.
Abstract translation: 本公开提供了分析基因型数据的方法和系统。 在一些实施方案中,计算机实现的方法包括接收与受试者或其家族成员的一种或多种表型有关的数据,以及基于其与一种或多种表型的关联评分对基因进行排序。 接下来,生成数据的输出,输出包括基于关联分数的数据的比较。 比较可以是数字和图形中的至少一种。
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公开(公告)号:US10255330B2
公开(公告)日:2019-04-09
申请号:US15083058
申请日:2016-03-28
Applicant: Personalis, Inc.
Inventor: Gemma L. Chandratillake , Sarah K. Garcia , Richard Chen , Michael James Clark
Abstract: The disclosure provides methods and systems for analyzing genotype data. In some embodiments, a computer-implemented method comprises receiving data relating to one or more phenotypes of a subject or family members thereof, and ranking genes based on their association score with one or more phenotypes. Next, an output of the data is generated, the output comprising a comparison of the data based on the association score. The comparison can be in at least one of numeric and graphic form.
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