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:
Nov. 07, 2017

Filed:

Mar. 03, 2017
Applicants:

Ryan Barrett, San Francisco, CA (US);

Taylor Sittler, San Francisco, CA (US);

Krishna Pant, San Jose, CA (US);

Zhenghua LI, San Jose, CA (US);

Inventors:

Ryan Barrett, San Francisco, CA (US);

Taylor Sittler, San Francisco, CA (US);

Krishna Pant, San Jose, CA (US);

Zhenghua Li, San Jose, CA (US);

Assignee:

COLOR GENOMICS, INC., Burlingame, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/24 (2011.01); G06F 19/22 (2011.01); G06F 19/18 (2011.01); G06F 9/52 (2006.01); G06F 9/48 (2006.01);
U.S. Cl.
CPC ...
G06F 9/52 (2013.01); G06F 9/4881 (2013.01); G06F 19/18 (2013.01); G06F 19/22 (2013.01); G06F 19/24 (2013.01);
Abstract

Embodiments in the disclosure are directed to the use of distributed computing to align reads against multiple portions of a reference dataset. Aligned portions of the reference dataset that correspond with an above-threshold alignment score can be assessed for the presence of sparse indicators that can be categorized and used to influence a determination of a state transition likelihood. Various tasks associated with the processing of reads (e.g., alignment, sparse indicator detection, and/or determination of a state transition likelihood) may be able to take advantage of parallel processing and can be distributed among the machines while considering the resource utilization of those machines. Different load-balancing mechanisms can be employed in order to achieve even resource utilization across the machines, and in some cases may involve assessing various processing characteristics that reflect a predicted resource expenditure and/or time profile for each task to be processed by a machine.


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