Invention Grant
- Patent Title: BamBam: parallel comparative analysis of high-throughput sequencing data
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Application No.: US15167530Application Date: 2016-05-27
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Publication No.: US09721062B2Publication Date: 2017-08-01
- Inventor: John Zachary Sanborn , David Haussler
- Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Applicant Address: US CA Oakland
- Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- Current Assignee Address: US CA Oakland
- Agency: Womble Carlyle Sandridge & Rice LLP
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F7/00 ; G06F19/22 ; G06F3/0484 ; G06F17/24 ; G06F19/00 ; G06T11/20 ; G06N7/00 ; C12Q1/68 ; G06Q50/24
Abstract:
The present invention relates to methods for evaluating and/or predicting the outcome of a clinical condition, such as cancer, metastasis, AIDS, autism, Alzheimer's, and/or Parkinson's disorder. The methods can also be used to monitor and track changes in a patient's DNA and/or RNA during and following a clinical treatment regime. The methods may also be used to evaluate protein and/or metabolite levels that correlate with such clinical conditions. The methods are also of use to ascertain the probability outcome for a patient's particular prognosis.
Public/Granted literature
- US20160275257A1 BAMBAM: PARALLEL COMPARATIVE ANALYSIS OF HIGH-THROUGHPUT SEQUENCING DATA Public/Granted day:2016-09-22
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