Patents by Inventor Gregory Booth

Gregory Booth has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • High-throughput single-nuclei and single-cell libraries and methods of making and of using
    Patent number: 12624350
    Abstract: Provided herein are methods for preparing a sequencing library that includes nucleic acids from a plurality of single cells. In one embodiment, the method includes nuclear or cellular hashing which permits increased sample throughput and increased doublet detection at high collision rates. In one embodiment, the method includes normalization hashing which aids in estimating and removing technical noise in cell to cell variation and increases sensitivity and specificity.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: May 12, 2026
    Assignees: ILLUMINA, INC., UNIVERSITY OF WASHINGTON
    Inventors: Sanjay Srivatsan, Jose McFaline-Figueroa, Vijay Ramani, Junyue Cao, Gregory Booth, Jay Shendure, Cole Trapnell, Frank J. Steemers
  • SPATIAL CHARACTERIZATION OF THE FECAL MICROBIOME
    Publication number: 20260036581
    Abstract: Disclosed herein is a method of evaluating the fecal microbiome of a subject comprising determining a spatial characterization of the fecal microbiome.
    Type: Application
    Filed: August 1, 2025
    Publication date: February 5, 2026
    Applicant: Kanvas Biosciences, Inc.
    Inventors: Prateek Sehgal, Gregory Booth, Philip Burnham, Matthew Cheng, Kevin Cutler, Iwijn De Vlaminck, Anjali Doshi, Kyle Jacoby, Gaetano Scuderi, Hao Shi, Lee Swem, Maya Trisolini
  • HIGH-THROUGHPUT SINGLE-NUCLEI AND SINGLE-CELL LIBRARIES AND METHODS OF MAKING AND OF USING
    Publication number: 20220033805
    Abstract: Provided herein are methods for preparing a sequencing library that includes nucleic acids from a plurality of single cells. In one embodiment, the method includes nuclear or cellular hashing which permits increased sample throughput and increased doublet detection at high collision rates. In one embodiment, the method includes normalization hashing which aids in estimating and removing technical noise in cell to cell variation and increases sensitivity and specificity.
    Type: Application
    Filed: March 2, 2020
    Publication date: February 3, 2022
    Inventors: Sanjay Srivatsan, Jose McFaline-Figueroa, Vijay Ramani, Junyue Cao, Gregory Booth, Jay Shendure, Cole Trapnell, Frank J. Steemers