MICROORGANISM-RELATED SIGNIFICANCE INDEX METRICS

    公开(公告)号:US20200286623A1

    公开(公告)日:2020-09-10

    申请号:US16645077

    申请日:2018-09-14

    申请人: PSOMAGEN, INC.

    摘要: Embodiments of a method and/or system, such as for characterizing at least one microorganism-related condition, can include: determining a set of associations (e.g., positive associations such as positive correlations, negative associations such as negative correlations, non-associations such as no correlation or minimal correlation, etc.) between a set of microorganism taxa and at least one microorganism-related condition; determining a set of reference features (e.g., reference abundance ranges, etc.) for the set of microorganism taxa; and determining one or more significance index metrics based on the set of associations and the set of reference features.

    Method and system for CRISPR-based library preparation and sequencing

    公开(公告)号:US11572555B2

    公开(公告)日:2023-02-07

    申请号:US15717807

    申请日:2017-09-27

    申请人: PSOMAGEN, INC.

    IPC分类号: C12N15/10

    摘要: Embodiments of a method and system for improved microbiome sequencing can include: generating guide RNA complexes for a set of targets corresponding to a set of taxa associated with the microorganism-related condition; processing the biological sample with the gRNA complexes to generate microorganism nucleic acid fragments comprising a set of end regions associated with the set of targets; ligating the set of end regions with a set of adapters sharing an adapter sequence; and amplifying the set of targets based on the ligated set of end regions and a set of primers sharing a primer sequence associated with the adapter sequence.

    Method and System for Microbiome-Derived Companion Diagnostics

    公开(公告)号:US20220186316A1

    公开(公告)日:2022-06-16

    申请号:US17432183

    申请日:2020-02-20

    申请人: PSOMAGEN INC.

    摘要: A method for characterizing compatibility of a drug for a user includes collecting a set of samples from a set of individuals comprising a set of first individuals who respond to a therapy for a microbiome-related condition and a set of second individuals who do not respond to the therapy for the microbiome-related condition and determining one or more datasets based on the set of samples. A set of microbiome features is extracted from the one or more microbiome datasets, the microbiome features facilitating differentiation between individuals who respond and individuals who do not respond to the therapy. A companion diagnostics model is determined based on the set of microbiome features. The compatibility of the drug for the user is then determined using the companion diagnostics model.