Models for Targeted Sequencing
AssigneeGrail, LLC
InventorsAlexander W. Blocker, Earl Hubbell, Oliver Claude Venn, Qinwen Liu
Life of this patent
Estimating the term…
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AssigneeGrail, LLC
InventorsAlexander W. Blocker, Earl Hubbell, Oliver Claude Venn, Qinwen Liu
Estimating the term…
A processing system uses a Bayesian inference based model for targeted sequencing or variant calling. In an embodiment, the processing system generates candidate variants of a cell free nucleic acid sample. The processing system determines likelihoods of true alternate frequencies for each of the candidate variants in the cell free nucleic acid sample and in a corresponding genomic nucleic acid sample. The processing system filters or scores the candidate variants by the model using at least the likelihoods of true alternate frequencies. The processing system outputs the filtered candidate variants, which may be used to generate features for a predictive cancer or disease model.
A method comprising:
A computer-product comprising a computer readable medium storing a plurality of instructions for controlling a computer system to:
A system comprising a computer processor and a memory, the memory storing computer program instructions that when executed by the computer processor cause the processor to perform steps comprising:
33-67. (canceled)
Dependencies are inferred from the claim text.