Methods for cell label classification

    公开(公告)号:US11608497B2

    公开(公告)日:2023-03-21

    申请号:US15806174

    申请日:2017-11-07

    Abstract: Disclosed herein are methods and systems for classifying cell labels, for example identifying a signal cell label. In some embodiments, the method comprises: obtaining sequencing data of barcoded targets created using targets in cells barcoded using barcodes, wherein a barcode comprises a cell label and a molecular label. After ranking the cell labels, a minimum of a second derivative plot of a cumulative sum plot can be determined. Using the methods, a cell label can be classified as a signal cell label or a noise cell label based on the number of molecular labels with distinct sequences associated with the cell label and a cell label threshold.

    MOLECULAR BARCODING ON OPPOSITE TRANSCRIPT ENDS

    公开(公告)号:US20220348904A1

    公开(公告)日:2022-11-03

    申请号:US17745806

    申请日:2022-05-16

    Abstract: Disclosed herein include systems, methods, compositions, and kits for molecular barcoding on the 5′-end of a nucleic acid target. After barcoding a nucleic acid target using an oligonucleotide barcode comprising a target binding region and a molecular label to generate a barcoded nucleic acid molecule, an oligonucleotide comprising a complement of the target binding region can be added to generate a barcoded nucleic acid molecule comprising the target-binding region and the complement of the target-binding region. A stem loop is formed with intra-molecular hybridization of the barcoded nucleic acid molecule, which can be extended to generate an extended barcoded nucleic acid molecule comprising the molecular label and a complement of the molecular label.

    Spatially addressable molecular barcoding

    公开(公告)号:USRE48913E1

    公开(公告)日:2022-02-01

    申请号:US16535080

    申请日:2019-08-08

    Abstract: The disclosure provides for methods, compositions, systems, devices, and kits for determining the number of distinct targets in distinct spatial locations within a sample. In some examples, the methods include: stochastically barcoding the plurality of targets in the sample using a plurality of stochastic barcodes, wherein each of the plurality of stochastic barcodes comprises a spatial label and a molecular label; estimating the number of each of the plurality of targets using the molecular label; and identifying the spatial location of each of the plurality of targets using the spatial label. The method can be multiplexed.

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