ACCURATE MOLECULAR BARCODING
    5.
    发明申请

    公开(公告)号:US20170314067A1

    公开(公告)日:2017-11-02

    申请号:US15581914

    申请日:2017-04-28

    Inventor: Eleen Shum Glenn Fu

    Abstract: In accordance with some embodiments herein, compositions and methods for accurate barcoding of nucleic acids are described. The compositions and methods can involve a plurality of unique oligonucleotide species comprising unique molecule barcodes. In some embodiments, the molecule barcodes can have a relatively low G content, and can exhibit reduced bias in amplification and analysis.

    Methods and compositions for combinatorial barcoding

    公开(公告)号:US11535882B2

    公开(公告)日:2022-12-27

    申请号:US15084307

    申请日:2016-03-29

    Abstract: The present disclosure provide compositions, methods and kits for generating a set of combinatorial barcodes, and uses thereof for barcoding samples such as single cells or genomic DNA fragments. Some embodiments disclosed herein provide compositions comprising a set of component barcodes for producing a set of combinatorial barcodes. The set of component barcodes can comprise, for example, n×m unique component barcodes, wherein n and m are integers, each of the component barcodes comprises: one of n unique barcode subunit sequences; and one or two linker sequences or the complements thereof, wherein the component barcodes are configured to connect to each other through the one or two linker sequences or the complements thereof to produce a set of combinatorial barcodes.

    Accurate molecular barcoding
    8.
    发明授权

    公开(公告)号:US10822643B2

    公开(公告)日:2020-11-03

    申请号:US15581914

    申请日:2017-04-28

    Inventor: Eleen Shum Glenn Fu

    Abstract: In accordance with some embodiments herein, compositions and methods for accurate barcoding of nucleic acids are described. The compositions and methods can involve a plurality of unique oligonucleotide species comprising unique molecule barcodes. In some embodiments, the molecule barcodes can have a relatively low G content, and can exhibit reduced bias in amplification and analysis.

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