INTEGRATIVE PANOMIC APPROACH TO PHARMACOGENOMICS SCREENING

    公开(公告)号:US20190272892A1

    公开(公告)日:2019-09-05

    申请号:US16420040

    申请日:2019-05-22

    申请人: NantOmics, LLC

    IPC分类号: G16B30/10 G16B30/20 G16H20/40

    摘要: Complex genotypes, especially multiple single nucleotide variances, that may differentially distributed among alleles can be efficiently mapped in each allele of the gene using next generation sequencing of RNA transcripts from the alleles and the allele fraction information of RNA transcripts. Such reconstructed single nucleotide variances among alleles can be associated with the expected effectiveness of the cancer therapy to update or generate the patient's record or adjust the dose and schedule of the cancer therapy to reduce the undesirable effect of the cancer therapy.

    INTEGRATIVE PANOMIC APPROACH TO PHARMACOGENOMICS SCREENING

    公开(公告)号:US20180357368A1

    公开(公告)日:2018-12-13

    申请号:US16003028

    申请日:2018-06-07

    申请人: NantOmics, LLC

    IPC分类号: G06F19/22

    CPC分类号: G06F19/22

    摘要: Complex genotypes, especially multiple single nucleotide variances, that may differentially distributed among alleles can be efficiently mapped in each allele of the gene using next generation sequencing of RNA transcripts from the alleles and the allele fraction information of RNA transcripts. Such reconstructed single nucleotide variances among alleles can be associated with the expected effectiveness of the cancer therapy to update or generate the patient's record or adjust the dose and schedule of the cancer therapy to reduce the undesirable effect of the cancer therapy.

    DIFFERENCE-BASED GENOMIC IDENTITY SCORES

    公开(公告)号:US20210313012A1

    公开(公告)日:2021-10-07

    申请号:US16972520

    申请日:2019-06-06

    申请人: Nantomics, LLC

    IPC分类号: G16B40/30 G16B20/20 G16B30/10

    摘要: Methods for analyzing omics data and using the omics data to determine genetic distances and/or difference scores among a plurality of biological samples to so further determine the homogeneity of a group having a plurality of biological samples and/or exclude an individual biological sample from a group of biological samples as an outlier are presented. In preferred methods, a plurality of local differential string sets among the plurality of sequence strings is generated using a plurality of local alignments. The local different string is an indicative of genetic difference between one sequence string and one of the rests of the sequence strings among the plurality of sequence strings. From the plurality of local differential string sets, a plurality of difference scores among the plurality of sequence strings can be determined.