Patents by Inventor Youting Sun
Youting Sun 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).
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Publication number: 20240290423Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genetic alterations. In particular, a method is provided for that includes obtaining nucleic acid fragments from a sample from a test subject; sequencing the sequence constructs to obtain sequence reads; demultiplexing the sequence reads to a first and a second subset of sequences reads; generating a first set of consensus reads that correspond to the first nucleic acid fragment based on SMBs associated with the first subset of sequences reads; generating a second set of consensus reads that correspond to the second nucleic acid fragment based on SMBs associated with the second subset of sequences reads; and determining a presence of one or more genetic alterations for the test subject based on the two sets of consensus reads.Type: ApplicationFiled: February 1, 2024Publication date: August 29, 2024Applicant: Sequenom, Inc.Inventors: Mostafa Azab, Michael Sykes, Youting Sun, Amin Mazloom, Taylor Jensen, Mathias Ehrich, Christopher Ellison
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Publication number: 20240282406Abstract: Array-based targeted copy number detection, for instance detection on contaminated and/or variable concentration samples, includes obtaining a collection of intensity signals from assays of a set of input samples, performing a cross-sample calibration on the intensity signals based on reference sample(s), which calibration includes constructing a reference signal distribution based on intensity signals of the reference sample(s) and for one or more input samples calibrating a set of intensity signals corresponding to the input sample based on the reference signal distribution, determining, for the one or more input samples, and from a respective one or more calibrated sets of intensity signals corresponding to the one or more input samples, a respective at least one aggregated calibrated signal from targeted genomic region(s) to produce a collection of aggregated calibrated signals, and detecting variant(s) in the targeted genomic region(s) based on the collection of aggregated calibrated signals.Type: ApplicationFiled: February 12, 2024Publication date: August 22, 2024Applicant: Illumina, Inc.Inventors: Yong LI, Youting SUN, Sidney KUO
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Patent number: 11929145Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genetic alterations. In particular, a method is provided for that includes obtaining a set of sequence reads. The sequence reads each include a single molecule barcode (SMB) sequence that is a non-random oligonucleotide sequence. The method further includes assigning the sequence reads to read groups according to a read group signature. The read group signature comprises an SMB sequence and a start and end position of a nucleic acid fragment from the circulating cell free sample nucleic acid. The sequence reads comprising start and end positions and an SMB sequence similar to the read group signature are assigned to a read group. The method further includes generating a consensus for each read group, and determining the presence or absence of a genetic alteration based on the consensus for each read group.Type: GrantFiled: January 22, 2018Date of Patent: March 12, 2024Assignee: SEQUENOM, INCInventors: Mostafa Azab, Michael Sykes, Youting Sun, Amin Mazloom, Taylor Jensen, Mathias Ehrich, Christopher Ellison
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Publication number: 20230187021Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability.Type: ApplicationFiled: October 10, 2022Publication date: June 15, 2023Applicant: Sequenom, Inc.Inventors: Youting Sun, Sung Kyun Kim, Mathias Ehrich, Christopher Ellison, Taylor Jensen, Amin Mazloom
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Patent number: 11515003Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability. The method comprises providing a set of genomic portions each coupled to a copy number alteration quantification for a test sample, wherein the genomic portions comprises portions of a reference genome to which sequence reads obtained for nucleic acid from a test sample obtained from the subject have been mapped, and the copy number alteration quantification coupled to each genomic portion has been determined from a quantification of sequence reads mapped to the genomic portion; and determining, by a computing device, presence or absence of genomic instability for the subject according to the copy number alteration quantifications coupled to the genomic portions.Type: GrantFiled: July 27, 2017Date of Patent: November 29, 2022Assignee: Sequenom, Inc.Inventors: Youting Sun, Sung Kyun Kim, Mathias Ehrich, Christopher Ellison, Taylor Jensen, Amin Mazloom
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Publication number: 20190371429Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genetic alterations. In particular, a method is provided for that includes obtaining a set of sequence reads. The sequence reads each include a single molecule barcode (SMB) sequence that is a non-random oligonucleotide sequence. The method further includes assigning the sequence reads to read groups according to a read group signature. The read group signature comprises an SMB sequence and a start and end position of a nucleic acid fragment from the circulating cell free sample nucleic acid. The sequence reads comprising start and end positions and an SMB sequence similar to the read group signature are assigned to a read group. The method further includes generating a consensus for each read group, and determining the presence or absence of a genetic alteration based on the consensus for each read group.Type: ApplicationFiled: January 22, 2018Publication date: December 5, 2019Inventors: Mostafa Azab, Michael Sykes, Youting Sun, Amin Mazloom, Taylor Jensen, Mathias Ehrich, Christopher Ellison
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Publication number: 20190325990Abstract: Provided is a computer-implemented method of aligning RNA including receiving onto a data storage unit primer sequences and transcript sequences transcribable from a reference genome based on a gene model, generating target sequences to be amplified from a combination of the primer sequences and the transcript sequences, generating a modified reference genome based on the plurality of target sequences, aligning sequence reads generated from a test sample comprising RNA amplicon molecules to the of target sequences, and generating an alignment profile for the test sample based on the aligning. Also provided is a computer system for performing the foregoing method.Type: ApplicationFiled: January 7, 2019Publication date: October 24, 2019Applicant: Illumina, Inc.Inventors: Gordon Jeff BEAN, Jocelyn BRUAND, Ryan Matthew KELLEY, Chih LEE, Dorothea Margherita EMIG-AGIUS, Eric ALLEN, Youting SUN
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Publication number: 20180032666Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability.Type: ApplicationFiled: July 27, 2017Publication date: February 1, 2018Inventors: Youting Sun, Sung Kyun Kim, Mathias Ehrich, Christopher Ellison, Taylor Jensen, Amin Mazloom
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Publication number: 20170342477Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for detecting genetic variations. In some embodiments, the technology is related to non-invasive assessment of aneuploidies.Type: ApplicationFiled: May 26, 2017Publication date: November 30, 2017Applicant: Sequenom, Inc.Inventors: Taylor Jacob Jensen, Mathias Ehrich, Dirk van den Boom, John Allen Tynan, Sung Kyun Kim, Timothy S. Burcham, Christopher K. Ellison, Youting Sun