SYSTEM AND METHOD FOR MUTATION DETECTION AND IDENTIFICATION USING MIXED-BASE FREQUENCIES

Patent №

US 7,912,652

Granted

2011-03-22

Filed 2002

Owner

APPLERA CORPORATION

+1 more

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10293960

The present teachings disclose methods for evaluation of sequence information to characterize putative heterozygous indel mutations. The mutation analysis methods utilize sequence and trace information to identify mixed-base presence resulting from allelic differences. These methods may be applied to identify and resolve single nucleotide polymorphisms, insertions, deletions, and other mutational events.

Machine learningG01N 33/74G16B 20/00G16B 20/20C12Q 1/6869G16B 30/00

AI classification

Machine learning0.90
Natural language0.18
AI hardware0.01
Planning0.00
Knowledge representation0.00
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

APPLERA CORPORATION

assignment · 137860685

APPLIED BIOSYSTEMS, LLC

correct · 380020001

Assignors

SORENSON, JON M.

On an employer assignment, the assignors are typically the inventors.

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