Patents by Inventor Caleb J. Kennedy

Caleb J. Kennedy 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: 20210089581
    Abstract: The invention relates to using a graph database in genetic analyses to link mutation data to extrinsic data. Entities such as mutations, patients, samples, alleles, and clinical information are individually represented and stored as nodes and relationships between entities are also individually represented and stored. Each node and relationship can be stored using a fixed-size record and nodes can be flexibly invoked to represent any entity without disrupting the existing data. Systems and methods of the invention may be used for obtaining data representing a mutation in an individual and using a node in a graph database to store a description of the mutation. The node has stored within it a pointer to an adjacent node that provides information about a clinical significance of the variant. The graph database can be queried to provide a report of the clinical significance of the mutation.
    Type: Application
    Filed: August 21, 2020
    Publication date: March 25, 2021
    Inventors: Alexander FRIEDEN, Caleb J. KENNEDY, Xavier S. HAURIE
  • Publication number: 20210057045
    Abstract: The present invention generally relates to determining the clinical significance of a variant nucleic acid sequence. The invention can involve sequencing a nucleic acid to generate at least one sequence read, identifying a variant sequence within the sequence read, determining the equivalent insertion/deletion region (EIR) of the variant sequence, identifying a functional region including at least a portion of the EIR, and associating the EIR with the identified functional region, thereby to determine the clinical significance of the variant.
    Type: Application
    Filed: August 19, 2020
    Publication date: February 25, 2021
    Inventors: Caleb J. KENNEDY, Mark UMBARGER, Gregory PORRECA
  • Patent number: 10706017
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Grant
    Filed: January 3, 2017
    Date of Patent: July 7, 2020
    Assignee: Good Start Genetics, Inc.
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Publication number: 20170116216
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Application
    Filed: January 3, 2017
    Publication date: April 27, 2017
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Patent number: 9292527
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Grant
    Filed: January 23, 2015
    Date of Patent: March 22, 2016
    Assignee: Good Start Genetics, Inc.
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Publication number: 20160048608
    Abstract: The invention relates to using a graph database in genetic analyses to link mutation data to extrinsic data. Entities such as mutations, patients, samples, alleles, and clinical information are individually represented and stored as nodes and relationships between entities are also individually represented and stored. Each node and relationship can be stored using a fixed-size record and nodes can be flexibly invoked to represent any entity without disrupting the existing data. Systems and methods of the invention may be used for obtaining data representing a mutation in an individual and using a node in a graph database to store a description of the mutation. The node has stored within it a pointer to an adjacent node that provides information about a clinical significance of the variant. The graph database can be queried to provide a report of the clinical significance of the mutation.
    Type: Application
    Filed: August 14, 2015
    Publication date: February 18, 2016
    Inventors: Alexander Frieden, Caleb J. Kennedy, Xavier S. Haurie
  • Patent number: 9228233
    Abstract: The invention generally relates to methods for analyzing nucleic acids to identify novel mutations associated with diseases. In certain embodiments, methods of the invention involve obtaining nucleic acid from a subject having a disease, identifying at least one mutation in the nucleic acid, and comparing the mutation to a database of mutations known to be associated with the disease, wherein mutations that do not match to the database are identified as novel mutations.
    Type: Grant
    Filed: September 14, 2012
    Date of Patent: January 5, 2016
    Assignee: Good Start Genetics, Inc.
    Inventors: Caleb J. Kennedy, Mark Umbarger, Gregory Porreca
  • Patent number: 9218352
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Grant
    Filed: January 23, 2015
    Date of Patent: December 22, 2015
    Assignee: Good Start Genetics, Inc.
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Publication number: 20150149510
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Application
    Filed: January 23, 2015
    Publication date: May 28, 2015
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Patent number: 8847799
    Abstract: The present invention generally relates to storing sequence read data. The invention can involve obtaining a plurality of sequence reads from a sample, identifying one or more sets of duplicative sequence reads within the plurality of sequence reads, and storing only one of the sequence reads from each set of duplicative sequence reads in a text file using nucleotide characters.
    Type: Grant
    Filed: June 2, 2014
    Date of Patent: September 30, 2014
    Assignee: Good Start Genetics, Inc.
    Inventors: Caleb J. Kennedy, Niru Chennagiri
  • Patent number: 8738300
    Abstract: The invention relates to assembly of sequence reads. The invention provides a method for identifying a mutation in a nucleic acid involving sequencing nucleic acid to generate a plurality of sequence reads. Reads are assembled to form a contig, which is aligned to a reference. Individual reads are aligned to the contig. Mutations are identified based on the alignments to the reference and to the contig.
    Type: Grant
    Filed: June 12, 2012
    Date of Patent: May 27, 2014
    Assignee: Good Start Genetics, Inc.
    Inventors: Gregory Porreca, Caleb J. Kennedy
  • Publication number: 20130288901
    Abstract: The invention generally relates to methods for analyzing nucleic acids to identify novel mutations associated with diseases. In certain embodiments, methods of the invention involve obtaining nucleic acid from a subject having a disease, identifying at least one mutation in the nucleic acid, and comparing the mutation to a database of mutations known to be associated with the disease, wherein mutations that do not match to the database are identified as novel mutations.
    Type: Application
    Filed: September 14, 2012
    Publication date: October 31, 2013
    Applicant: GOOD START GENETICS, INC.
    Inventors: Caleb J. Kennedy, Mark Umbarger, Gregory Porreca
  • Publication number: 20130268206
    Abstract: The invention relates to assembly of sequence reads. The invention provides a method for identifying a mutation in a nucleic acid involving sequencing nucleic acid to generate a plurality of sequence reads. Reads are assembled to form a contig, which is aligned to a reference. Individual reads are aligned to the contig. Mutations are identified based on the alignments to the reference and to the contig.
    Type: Application
    Filed: June 12, 2012
    Publication date: October 10, 2013
    Applicant: Good Start Genetics, Inc.
    Inventors: Gregory Porreca, Caleb J. Kennedy