Patents Assigned to PERATON INC.
  • Patent number: 11443181
    Abstract: A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.
    Type: Grant
    Filed: June 18, 2018
    Date of Patent: September 13, 2022
    Assignee: PERATON INC.
    Inventors: David A. Selck, Om Prakash, II, H. Morgan Crafts, Jr., Sam S. Shekar