TRANSITION COW INDEX
    31.
    发明申请

    公开(公告)号:US20170360012A1

    公开(公告)日:2017-12-21

    申请号:US15224336

    申请日:2016-07-29

    Applicant: Genus, PLC

    CPC classification number: A01K67/02 A01K2227/101 A61D19/04 G16B20/00

    Abstract: Applicants have identified that three critical phenotypic/genetic measures are highly correlated with transition period health and may be used in selection and breeding protocols and/or in combination with traditional breeding and marker assisted selection methods to improve predictability of transition period health. According to the invention genetic evaluations for mastitis, ketosis, and metritis have been found to be highly predictive of overall transition health. The genetic evaluations are produced by directly measuring thousands of clinical cases of mastitis, ketosis, and metritis in ancestors of a particular animal and using this data in selection. Applicant's selection criteria and quickly impact a breeders population by reducing transition cow disease incidence in the initial population and in progeny.

    Ancestral-specific reference genomes and uses in determining prognosis

    公开(公告)号:US09639658B2

    公开(公告)日:2017-05-02

    申请号:US15249397

    申请日:2016-08-27

    CPC classification number: G06F19/18 C40B30/02 G06F19/14 G06F19/22

    Abstract: Ancestry has a significant impact on the major and minor alleles found in each nucleotide position within the genome. Due to mechanisms of inheritance, ancestral-specific information contained within the genome is conserved within members of an ancestry. For this reason, individuals within a specific ancestry are more likely to share alleles in their genomes with other members of the same ancestry. Functionally, the combination of alleles at all positions within a group of individuals defines that group as having a common ancestry. Moreover, the aggregation of differences between alleles at all positions distinguishes one ancestry from another. The genomic similarities and differences between ancestries provides a mechanism to generate reference genomes that are specific for each ancestry. Reference genomes that are specific to an ancestry can be used to increase the accuracy of whole genome sequencing, DNA-based diagnostics and therapeutic marker discovery and in a variety of real-world DNA-based applications. Provided herein is a method for determining a prognosis for a genetic disease or disorder comprising the step of comparing a DNA sequence of or derived from the whole genome of a patient with any one or combination of two or more ancestral-specific reference genomes of an ancestral-specific reference genome database described herein to determine the level of severity of the genetic disease or disorder.

    Algorithm for modification of somatic cancer evolution
    33.
    发明授权
    Algorithm for modification of somatic cancer evolution 有权
    体细胞癌演变修改算法

    公开(公告)号:US09569586B2

    公开(公告)日:2017-02-14

    申请号:US14374924

    申请日:2012-02-13

    Applicant: Albert Rubben

    Inventor: Albert Rubben

    Abstract: Most clinically distinguishable malignant tumors are characterized by specific mutations, specific patterns of chromosomal rearrangements and a predominant mechanism of genetic instability. It has been suggested that the internal dynamics of genomic modifications as opposed to the external evolutionary forces have a significant and complex impact on Darwinian species evolution. A similar situation can be expected for somatic cancer evolution as the key mechanisms encountered in species evolution such as duplications, rearrangements or deletions of genes also constitute prevalent mutation mechanisms in cancers with chromosomal instability. The invention is an algorithm which is based on a systems concept describing the putative constraints of the cancer genome architecture on somatic cancer evolution. The algorithm allows the identification of therapeutic target genes in individual cancer patients which do not represent oncogenes or tumor suppressor genes but have become putative therapeutic targets due to constraints of the cancer genome architecture on individual somatic cancer evolution. Target genes or regulatory elements may be identified by their designation as essential genes or regulatory elements in cancer cells of the patient but not in normal tissue cells or they may be identified by their impact on the process of somatic cancer evolution in individual patients based on phylogenetic trees of somatic cancer evolution and on the constructed multilayered cancer genome maps. The algorithm can be used for delivering personalized cancer therapy as well as for the industrial identification of novel anti-cancer drugs. The algorithm is essential for designing software programs which allow the prediction of the natural history of cancer disease in individual patients.

    Abstract translation: 大多数临床上可区分的恶性肿瘤的特征是特异性突变,染色体重排的特定模式和遗传不稳定的主要机制。 有人提出,基因组修饰的内在动力与外部进化力相反,对达尔文物种进化有重要和复杂的影响。 对于体细胞癌进展来说,类似的情况可以预期,因为在物种进化中遇到的关键机制,如基因重复,重排或缺失,也构成了具有染色体不稳定性的癌症中的普遍突变机制。 本发明是一种基于描述癌症基因组构架对体细胞癌进化的推定约束的系统概念的算法。 该算法允许在不代表致癌基因或肿瘤抑制基因的个体癌症患者中鉴定治疗靶基因,但是由于癌症基因组结构对个体体细胞癌进展的限制,已经成为推定的治疗靶标。 目标基因或调节元件可以通过它们的名称被鉴定为患者的癌细胞中的必需基因或调节元件,但不能在正常组织细胞中鉴定,或者它们可以通过其对基于系统发生的个体患者体细胞癌进展过程的影响来鉴定 体细胞癌进化树和构建的多层癌基因组图谱。 该算法可用于提供个性化的癌症治疗以及新型抗癌药物的工业鉴定。 该算法对于设计允许预测个体患者的癌症疾病自然史的软件程序至关重要。

    Apparatus, Method, and System for Creating Phylogenetic Tree
    34.
    发明申请
    Apparatus, Method, and System for Creating Phylogenetic Tree 审中-公开
    用于创建系统发生树的装置,方法和系统

    公开(公告)号:US20160357902A1

    公开(公告)日:2016-12-08

    申请号:US15072671

    申请日:2016-03-17

    Applicant: Hitachi, Ltd.

    Inventor: Tomohiro YASUDA

    CPC classification number: G06F19/14

    Abstract: According to the present invention, a phylogenetic tree can be created on the basis of frequency data regarding a large number of mutations detected from the samples of a cancer. Each sample to be analyzed contains a mixture of plural clones having different genomes. Mutations having about the same frequencies are grouped to make plural groups, and an analysis is executed based on data listing the mutation frequencies of individual groups (called mutation group frequency data). It is assumed that pairs of clones corresponding respectively to mutation groups such that frequencies of one group is equal to or greater than that of another in all the samples have parent-child relations, and a graph structure having the clones as vertices and the parent-child relations as edges is created. In this graph, parent-child relations contradictory to the mutation group frequency data are removed, and a clone to become a parent is selected in consideration of correlation coefficients among the mutation group frequencies in the samples.

    Abstract translation: 根据本发明,可以基于关于从癌症样品检测到的大量突变的频率数据来创建系统发生树。 待分析的每个样品含有具有不同基因组的多个克隆的混合物。 具有大约相同频率的突变被分组成多个组,并且基于列出各组的突变频率的数据(称为突变组频率数据)执行分析。 假设分别对应于突变组的克隆对,使得在所有样本中,一组的频率等于或大于另一组的频率具有亲子关系,并且具有克隆作为顶点的图形结构, 子关系作为边创建。 在该图中,与突变群体频率数据矛盾的亲子关系被去除,考虑到样本中突变群体频率之间的相关系数,选择成为亲本的克隆。

    Lossless compression of the enumeration space of founder line crosses
    35.
    发明授权
    Lossless compression of the enumeration space of founder line crosses 有权
    创始人行列的计数空间的无损压缩

    公开(公告)号:US09075748B2

    公开(公告)日:2015-07-07

    申请号:US14049830

    申请日:2013-10-09

    CPC classification number: G06F19/14 H03M7/30 H03M7/40 H03M7/4006

    Abstract: Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.

    Abstract translation: 各种实施例提供了遗传创始人线的枚举空间的无损压缩。 在一个实施例中,获得包括一组遗传创始人行和最大代数G的输入。 产生一组高度h的遗传交叉模板。 确定遗传交叉模板集合中的至少第一遗传交叉模板相对于遗传交叉模板集合中的第二遗传交叉模板是多余的。 基于所述至少第一遗传交叉模板是冗余的,相对于所述第二遗传交叉模板是冗余的,所述至少第一遗传交叉模板从所述遗传交叉模板集合中去除。 从遗传杂交模板组中去除至少第一个遗传交叉模板的该过程产生了更新的一组遗传交叉模板。

    LOSSLESS COMPRESSION OF THE ENUMERATION SPACE OF FOUNDER LINE CROSSES
    36.
    发明申请
    LOSSLESS COMPRESSION OF THE ENUMERATION SPACE OF FOUNDER LINE CROSSES 有权
    基线交叉口的空间空间的无损压缩

    公开(公告)号:US20150065361A1

    公开(公告)日:2015-03-05

    申请号:US14049830

    申请日:2013-10-09

    CPC classification number: G06F19/14 H03M7/30 H03M7/40 H03M7/4006

    Abstract: Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.

    Abstract translation: 各种实施例提供了遗传创始人线的枚举空间的无损压缩。 在一个实施例中,获得包括一组遗传创始人行和最大代数G的输入。 产生一组高度h的遗传交叉模板。 确定遗传交叉模板集合中的至少第一遗传交叉模板相对于遗传交叉模板集合中的第二遗传交叉模板是多余的。 基于所述至少第一遗传交叉模板是冗余的,相对于所述第二遗传交叉模板是冗余的,所述至少第一遗传交叉模板从所述遗传交叉模板集合中去除。 从遗传杂交模板组中去除至少第一个遗传交叉模板的该过程产生了更新的一组遗传交叉模板。

    DATA ANALYSIS METHODS UTILIZING PHENOTYPIC PROPERTIES
    37.
    发明申请
    DATA ANALYSIS METHODS UTILIZING PHENOTYPIC PROPERTIES 审中-公开
    数据分析方法利用了PHENOTYPIC属性

    公开(公告)号:US20140349313A1

    公开(公告)日:2014-11-27

    申请号:US14265240

    申请日:2014-04-29

    CPC classification number: G01N33/56966

    Abstract: The present invention provides a method of identifying sub-populations of cells in a cellular sample. Aspects of the method include categorizing cells of the cellular sample into at least a first and second population based on a first phenotypic property. The method may further include sub-categorizing each of the first and second population into sub-populations of cells based on a second and third phenotypic property, e.g., by using X detectable labels providing Y distinct signals, wherein X>Y, to identify sub-populations of cells in the cellular sample.

    Abstract translation: 本发明提供了鉴定细胞样品中细胞亚群的方法。 该方法的方面包括基于第一表型属性将细胞样品的细胞分类为至少第一和第二群体。 该方法还可以包括基于第二和第三表型性质将第一群体和第二群体中的每一个子细分为亚群,例如通过使用提供Y个不同信号的X个可检测标记,其中X> Y,以识别子 - 细胞样品中的细胞群体。

    Sculptural imaging with optical tiles
    38.
    发明授权
    Sculptural imaging with optical tiles 有权
    雕刻成像与光瓦片

    公开(公告)号:US08837034B2

    公开(公告)日:2014-09-16

    申请号:US13543674

    申请日:2012-07-06

    Abstract: Structures for representing images comprise a plurality of tile elements which, when illuminated by a light source, each direct an amount of light toward an observer at a viewing location dependent on their orientation angles. The orientation angles of each tile element may be selected based on a characteristic of a corresponding pixel of an image, such that the observer sees a representation of that image created by the varying amount of light directed to the viewing location by the tile elements.

    Abstract translation: 用于表示图像的结构包括多个瓦片元件,当由光源照射时,每个瓷砖元件在取决于它们的取向角度的情况下,将一定量的光朝着观察者朝向观察者指向。 可以基于图像的相应像素的特性来选择每个瓦片元件的取向角度,使得观察者看到由通过瓦片元件指向观察位置的变化量的光产生的该图像的表示。

    Genetic motif extracting method and apparatus
    39.
    发明授权
    Genetic motif extracting method and apparatus 失效
    遗传基序提取方法及装置

    公开(公告)号:US5598350A

    公开(公告)日:1997-01-28

    申请号:US339233

    申请日:1994-11-10

    CPC classification number: G06F19/22 C12Q1/68 G06F19/14 G06F19/28

    Abstract: A genetic motif extracting apparatus is adapted to extract a motif from genetic sequence information, where the motif has a regularity in a distinctive feature that specifies a genetic function. The genetic motif extracting apparatus includes a weight calculation unit for calculating a weight of each genetic sequence from a length of at least one branch of an evolution tree structure that is related to a plurality of genetic sequences, a score calculation unit for calculating a score that indicates a degree of similarity of sequence elements of the genetic sequences appearing at a site for each site of the genetic sequences using the weight calculated by the weight calculation unit, and a feature information extraction unit for extracting a part of the genetic sequence having the regularity in the distinctive feature as the motif based on the score calculated by the score calculation unit.

    Abstract translation: 遗传基序提取装置适于从遗传序列信息中提取基序,其中基序具有指定遗传功能的独特特征中的规律性。 遗传基序提取装置包括:权重计算单元,用于从与多个遗传序列相关的进化树结构的​​至少一个分支的长度计算每个遗传序列的权重;计分计算单元,用于计算分数, 表示使用由权重计算单元计算的权重,出现在遗传序列的每个位点的位点处的遗传序列的序列元件的相似程度,以及特征信息提取单元,用于提取具有规则性的一部分遗传序列 在基于由分数计算单元计算的分数的图案的特征中。

    Transition cow index
    40.
    发明授权

    公开(公告)号:US10368532B2

    公开(公告)日:2019-08-06

    申请号:US15224336

    申请日:2016-07-29

    Applicant: Genus, PLC

    Abstract: Applicants have identified that three critical phenotypic/genetic measures are highly correlated with transition period health and may be used in selection and breeding protocols and/or in combination with traditional breeding and marker assisted selection methods to improve predictability of transition period health. According to the invention genetic evaluations for mastitis, ketosis, and metritis have been found to be highly predictive of overall transition health. The genetic evaluations are produced by directly measuring thousands of clinical cases of mastitis, ketosis, and metritis in ancestors of a particular animal and using this data in selection. Applicant's selection criteria can quickly impact a breeders population by reducing transition cow disease incidence in the initial population and in progeny.

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