发明名称 |
BAMBAM: PARALLEL COMPARATIVE ANALYSIS OF HIGH-THROUGHPUT SEQUENCING DATA |
摘要 |
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. |
申请公布号 |
US2017061071(A1) |
申请公布日期 |
2017.03.02 |
申请号 |
US201615167507 |
申请日期 |
2016.05.27 |
申请人 |
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA |
发明人 |
Sanborn John Zachary;Haussler David |
分类号 |
G06F19/22;G06F19/00;C12Q1/68;G06N7/00 |
主分类号 |
G06F19/22 |
代理机构 |
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代理人 |
|
主权项 |
1. A computer-based genomic sequence analysis system comprising:
a memory storing at least two genomic sequence datasets including:
a tumor sequence dataset comprising genomic sequence strings of a tumor tissue sample of a patient; anda matched normal dataset comprising genomic sequence strings of a normal tissue sample of the same patient; and a sequence analysis engine coupled with the memory and configured to:
simultaneously and synchronously read a tumor sequence string from the tumor sequence dataset and a matched normal sequence string from the matched normal sequence dataset;wherein the tumor sequence string is incrementally synchronized with the matched normal sequence string based on a given genomic position;identify a genomic alteration associated with the given genomic position according to a probability derived from reads of the tumor sequence string and of the matched normal sequence string; andstore the genomic alteration in a device memory. |
地址 |
OAKLAND CA US |