Jason Allen Huff

US Patent:

20230131539, Apr 27, 2023

Filed:

Oct 26, 2022

Appl. No.:

18/049799

Inventors:

- McLean VA, US
Jason Troy HUFF - Portland OR, US
Rebecca Chodroff FORAN - Camas WA, US

International Classification:

G16B 40/00
G16B 30/00

Abstract:

A computer-implemented method for using companion pet DNA information to train a machine-learning model to predict a familial relationship of a companion pet, the method comprising receiving companion pet DNA information, the companion pet DNA information including at least one DNA sequence, at least one matching companion pet, and at least one familial label corresponding to the familial relationship between the companion pet and the at least one matching companion pet, and upon the receiving, training the machine-learning model to predict at least one familial relationship from the at least one DNA sequence.

US Patent:

20230019141, Jan 19, 2023

Filed:

Jul 7, 2022

Appl. No.:

17/859974

Inventors:

- McLean VA, US
Jason Huff - Vancouver WA, US
Rebecca Chodroff Foran - Vancouver WA, US

Assignee:

Mars, Incorporated - McLean VA

International Classification:

G16B 10/00
G16B 40/20
G16B 20/20
G16B 20/40

Abstract:

In one embodiment, a method includes accessing a sample of genetic material associated with a first animal, wherein the sample of genetic material comprises raw genotypes, generating phased haplotypes based on the raw genotypes, generating local assignments for genetic populations for the phased haplotypes by machine learning algorithms based on comparisons between the phased haplotypes and a reference panel comprising reference haplotypes associated with reference populations, and sending instructions to a user device for presenting an output associated with the first animal to a user, wherein the output is generated based on the local assignments for the genetic populations.