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. 27, 2024

Filed:

Aug. 04, 2020
Applicant:

Sharecare Ai, Inc., Palo Alto, CA (US);

Inventors:

Brett Robert Redinger, Oakland, CA (US);

Kartik Thakore, Palo Alto, CA (US);

Sandra Ann R Steyaert, Izegem, BE;

Walter Adolf De Brouwer, Los Altos, CA (US);

Srivatsa Akshay Sharma, Palo Alto, CA (US);

Lijing Guo, San Francisco, CA (US);

Assignee:

SHARECARE AI, INC., Palo Alto, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 10/40 (2018.01); G06F 16/27 (2019.01); G16H 70/60 (2018.01); G06F 9/451 (2018.01); G16B 45/00 (2019.01); G16B 50/30 (2019.01); G06F 16/13 (2019.01); G06F 9/50 (2006.01); G06F 9/48 (2006.01);
U.S. Cl.
CPC ...
G16H 10/40 (2018.01); G06F 9/451 (2018.02); G06F 9/4881 (2013.01); G06F 9/5027 (2013.01); G06F 9/5061 (2013.01); G06F 16/134 (2019.01); G06F 16/27 (2019.01); G16B 45/00 (2019.02); G16B 50/30 (2019.02); G16H 70/60 (2018.01); G06F 9/5066 (2013.01); G06F 9/5072 (2013.01);
Abstract

The technology disclosed relates to efficient tertiary analysis of genomic data. The technology disclosed includes splitting a genomic data file into a plurality of segments, and storing segments in the plurality of segments across nodes of a distributed storage system, pushing the segments from the nodes of the distributed storage system to nodes of a distributed, in-memory computing engine, distributing directives of tertiary analysis job contexts for the genomic data file across the nodes of the distributed, in-memory computing engine, directly executing the distributed directives on the segments stored on the nodes of the distributed, in-memory computing engine to cause parallel processing of the segments, and aggregating results of the parallel processing across the nodes of the distributed, in-memory computing engine to produce an output.


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