Patents by Inventor Min-Jui Shen

Min-Jui Shen 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).

  • Publication number: 20220170113
    Abstract: Provided herein is a method for distinguishing an aberrant methylation level for DNA from a first cell type, including steps of (a) providing a test data set that includes (i) methylation states for a plurality of sites from test genomic DNA from at least one test organism, and (ii) coverage at each of the sites for detection of the methylation states; (b) providing methylation states for the plurality of sites in reference genomic DNA from one or more reference individual organisms, (c) determining, for each of the sites, the methylation difference between the test genomic DNA and the reference genomic DNA, thereby providing a normalized methylation difference for each site; and (d) weighting the normalized methylation difference for each site by the coverage at each of the sites, thereby determining an aggregate coverage-weighted normalized methylation difference score.
    Type: Application
    Filed: February 7, 2022
    Publication date: June 2, 2022
    Applicant: Illumina, Inc.
    Inventors: Jonathan Toung, Li Liu, Min-Jui Shen, Ruoyu Zhang
  • Publication number: 20050181394
    Abstract: This invention provides methods of amplifying genomic DNA to obtain an amplified representative population of genome fragments. Methods are further provided for obtaining amplified genomic DNA representations of a desired complexity. The invention further provides methods for simultaneously detecting large numbers of typable loci for an amplified representative population of genome fragments. Accordingly the methods can be used to genotype individuals on a genome-wide scale.
    Type: Application
    Filed: December 7, 2004
    Publication date: August 18, 2005
    Applicant: Illumina, Inc.
    Inventors: Frank Steemers, Weihua Chang, Min-Jui Shen, Kevin Gunderson