Patents by Inventor James Baye

James Baye 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: 20260260698
    Abstract: This disclosure describes methods, non-transitory-computer readable media, and systems that can simultaneously determine estimated methylation-level values for cytosine bases and genotype calls for a target genomic sample. The disclosed system can utilize a Bayesian method on a target genomic sample's nucleotide-read data to generate estimated methylation-level values that indicate genomic coordinates at which the target genomic sample comprises a reference cytosine base or a nucleobase that could be called as a cytosine. The disclosed system can estimate methylation-level values based on prior genotype probabilities and observed nucleobases at a genomic coordinate from a read pileup of a target genomic sample. Based on the estimated methylation-level values and base-call-quality metrics, the disclosed system may generate posterior genotype probabilities for the genomic sample at the genomic coordinate.
    Type: Application
    Filed: June 26, 2024
    Publication date: September 3, 2026
    Inventors: JAMES BAYE, DANIEL ANDREWS, KONRAD HAARHOFF SCHEFFLER
  • Publication number: 20240177802
    Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can utilize methylation sequencing assay data to generate genotype calls efficiently and accurately for a target genomic sample. In some implementations, the disclosed system identifies the target genomic sample's nucleotide reads comprising nucleobases converted by a methylation sequencing assay. The disclosed system can determine variant calls based on aligning the nucleotide reads with a reference genome. To account for errors introduced by the methylation sequencing assay, in some cases, the disclosed system corrects or modifies genotype-likelihood metrics for a subset of candidate variant calls. The disclosed system further imputes genotype calls based on such modified genotype-likelihood metrics and a comparison of a subset of variant calls with marker variants from a reference panel.
    Type: Application
    Filed: November 29, 2023
    Publication date: May 30, 2024
    Inventors: Daniel Andrews, James Baye
  • Publication number: 20240127906
    Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can use a computationally efficient model to determine a corrected methylation-level value for a specific sample nucleotide sequence. For instance, the disclosed systems determine a false positive rate and a false negative rate at which a given methylation sequencing assay converts cytosine bases. Based on the determined false positive rate and false negative rate, the disclosed systems determine a corrected methylation-level value that corrects for a bias of the given methylation sequencing assay.
    Type: Application
    Filed: October 10, 2023
    Publication date: April 18, 2024
    Inventors: Qi Wang, Suzanne Rohrback, Sarah Shultzaberger, Rebekah Karadeema, Leslie Beh Yee Ming, James Baye, Colin Brown