The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 06, 2024

Filed:

Sep. 20, 2018
Applicant:

Life Technologies Corporation, Carlsbad, CA (US);

Inventors:

Rajesh Gottimukkala, Fremont, CA (US);

Cheng-Zong Bai, Taipei, TW;

Dumitru Brinza, Montara, CA (US);

Jeoffrey Schageman, Austin, TX (US);

Varun Bagai, Austin, TX (US);

Assignee:

Life Technologies Corporation, Carlsbad, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16B 30/00 (2019.01); C12Q 1/6853 (2018.01); G16B 30/10 (2019.01); G16B 20/20 (2019.01); G16B 50/50 (2019.01);
U.S. Cl.
CPC ...
G16B 30/00 (2019.02); C12Q 1/6853 (2013.01); G16B 20/20 (2019.02); G16B 30/10 (2019.02); G16B 50/50 (2019.02);
Abstract

A method for compressing nucleic acid sequence data wherein each sequence read is associated with a molecular tag sequence, wherein a portion of the sequence reads alignments correspond to sequence reads mapped to a targeted fusion reference sequence includes determining a consensus sequence read for each family of sequence reads based on flow space signal measurements corresponding to the family of sequence reads, determining a consensus sequence alignment for each family of sequence reads, wherein a portion of the consensus sequence alignments correspond to the consensus sequence reads aligned with the targeted fusion reference sequence, generating a compressed data structure comprising consensus compressed data, the consensus compressed data including the consensus sequence read and the consensus sequence alignment for each family, and detecting a fusion using the consensus sequence reads and the consensus sequence alignments from the compressed data structure.


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