MDM2-Containing Double Minute Chromosomes And Methods Therefore
    19.
    发明申请
    MDM2-Containing Double Minute Chromosomes And Methods Therefore 审中-公开
    含MDM2的双分枝染色体和方法因此

    公开(公告)号:US20170011167A1

    公开(公告)日:2017-01-12

    申请号:US15099596

    申请日:2016-04-15

    IPC分类号: G06F19/22 G06F19/24

    摘要: Contemplated systems and methods allow for computational genomic analysis using paired-end sequence analysis and split read refinement to thereby identify high-confidence breakpoints associated with high copy numbers and orientation of rearrangements, which is then the basis for full reconstruction of double minutes (DM). In especially preferred aspects, the DM will also include an oncogene or tumor suppressor gene, and/or may be found in blood or blood derived fluids.

    摘要翻译: 考虑的系统和方法允许使用配对末端序列分析和分割读取细化进行计算基因组分析,从而识别与高拷贝数和重排的取向相关联的高可信度断点,这是完全重建双分钟(DM)的基础, 。 在特别优选的方面,DM还将包括致癌基因或肿瘤抑制基因,和/或可以在血液或血液衍生的流体中发现。

    Systems And Methods For Comprehensive Analysis Of Molecular Profiles Across Multiple Tumor And Germline Exomes
    20.
    发明申请
    Systems And Methods For Comprehensive Analysis Of Molecular Profiles Across Multiple Tumor And Germline Exomes 审中-公开
    用于多个肿瘤和种系异常的分子谱综合分析的系统和方法

    公开(公告)号:US20160026752A1

    公开(公告)日:2016-01-28

    申请号:US14726930

    申请日:2015-06-01

    IPC分类号: G06F19/18 G06F19/22

    CPC分类号: G16B20/00 G16B30/00

    摘要: Omics patient data are analyzed using sequences or diff objects of tumor and matched normal tissue to identify patient and disease specific mutations, using transcriptomic data to identify expression levels of the mutated genes, and pathway analysis based on the so obtained omic data to identify specific pathway characteristics for the diseased tissue. Most notably, many different tumors have shared pathway characteristics, and identification of a pathway characteristic of a tumor may thus indicate effective treatment options ordinarily not considered when tumor analysis is based on anatomical tumor type only.

    摘要翻译: 使用肿瘤和匹配的正常组织的序列或diff对象来分析肿瘤患者数据,以鉴定患者和疾病特异性突变,使用转录组学数据来鉴定突变基因的表达水平,以及基于如此获得的omic数据以鉴定特异性途径的途径分析 病变组织的特征。 最值得注意的是,许多不同的肿瘤具有共享的通路特征,并且鉴定肿瘤特征的途径可能表明当肿瘤分析仅基于解剖肿瘤类型时通常不被考虑的有效治疗方案。