SYSTEMS AND METHODS FOR TRACKING SINGLE-CELL MOVEMENT TRAJECTORIES

    公开(公告)号:US20200219266A1

    公开(公告)日:2020-07-09

    申请号:US16734749

    申请日:2020-01-06

    Abstract: A system for tracking single-cell movement trajectories is disclosed. The system can record, to a plurality of frames, cells (events) within a microfluidic device. Also, the system can identify an event within each frame including whether the event is a single cell or multiple cells. When the event appears differently between frames (e.g., single cell in one frame and multiple cells in another frame), the system can either segment or merge the cell(s). Then, the system can determine a trajectory for the events based on a position of the event in the frames. Further, the system can determine cell properties based on the trajectory of the events.

    METHODS AND SYSTEMS FOR IDENTIFYING CRISPR/CAS OFF-TARGET SITES
    2.
    发明申请
    METHODS AND SYSTEMS FOR IDENTIFYING CRISPR/CAS OFF-TARGET SITES 审中-公开
    识别CRISPR / CAS非目标网站的方法和系统

    公开(公告)号:US20170053062A1

    公开(公告)日:2017-02-23

    申请号:US15114799

    申请日:2015-01-27

    CPC classification number: G16B30/00 G06F16/2228 G06F16/2468 G06N7/005

    Abstract: Methods and systems for searching genomes for potential CRISPR off-target sites are provided. In preferred embodiments, the methods include identifying possible on- and off-target cleavage sites and/or ranking the potential off-target sites based on the number and location of mismatches, insertions, and/or deletions in the gRNA guide sequence relative to the genomic DNA sequence at a putative target site in the genome. These methods allow for the selection of better target sites and/or experimental confirmation of off-target sites and are an improvement over partial search mechanisms that fail to locate every possible target site.

    Abstract translation: 提供了用于搜索潜在CRISPR离靶位点的基因组的方法和系统。 在优选的实施方案中,所述方法包括基于在gRNA指导序列中的错配,插入和/或缺失的数量和位置,相对于 基因组DNA序列在基因组中的推定靶位点。 这些方法允许选择更好的目标站点和/或非目标站点的实验确认,并且是对部分搜索机制的改进,这些机制无法定位每个可能的目标站点。

    ALGORITHMS FOR FLOW CYTOMETRY COMPENSATION WITHOUT REQUIRING COMPENSATION CONTROLS

    公开(公告)号:US20250076177A1

    公开(公告)日:2025-03-06

    申请号:US18824482

    申请日:2024-09-04

    Inventor: Peng Qiu

    Abstract: An exemplary embodiment of the present disclosure provides a method of classifying a plurality of cells, comprising: providing a sample comprising a plurality of cells, the plurality of cells comprising a plurality of cell types; performing a flow cytometry process on the plurality of cells to generate an observation matrix; generating a compensation matrix based on the observation matrix; modifying the observation matrix with the compensation matrix to generate a compensated observation matrix; and classifying each of the plurality of cells into a cell type based on the compensated observation matrix.

    Systems and methods for tracking single-cell movement trajectories

    公开(公告)号:US11288815B2

    公开(公告)日:2022-03-29

    申请号:US16734749

    申请日:2020-01-06

    Abstract: A system for tracking single-cell movement trajectories is disclosed. The system can record, to a plurality of frames, cells (events) within a microfluidic device. Also, the system can identify an event within each frame including whether the event is a single cell or multiple cells. When the event appears differently between frames (e.g., single cell in one frame and multiple cells in another frame), the system can either segment or merge the cell(s). Then, the system can determine a trajectory for the events based on a position of the event in the frames. Further, the system can determine cell properties based on the trajectory of the events.

    METHODS AND SYSTEMS FOR IDENTIFYING CRISPR/CAS OFF-TARGET SITES

    公开(公告)号:US20190295689A1

    公开(公告)日:2019-09-26

    申请号:US16410395

    申请日:2019-05-13

    Abstract: Methods and systems for searching genomes for potential CRISPR off-target sites are provided. In preferred embodiments, the methods include identifying possible on- and off-target cleavage sites and /or ranking the potential off-target sites based on the number and location of mismatches, insertions, and/or deletions in the gRNA guide sequence relative to the genomic DNA sequence at a putative target site in the genome. These methods allow for the selection of better target sites and/or experimental confirmation of off-target sites and are an improvement over partial search mechanisms that fail to locate every possible target site.

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