Abstract:
A method for nucleic acid sequencing includes receiving nucleic acid sequencing data from a sequencing instrument that receives and processes a sample nucleic acid in a sequencing-by-synthesis process. The method also includes generating a set of candidate sequences of bases for the observed or measured nucleic acid sequencing data by determining a predicted signal for candidate sequences using a simulation framework. The simulation framework incorporates an estimated carry forward rate (CFR), an estimated incomplete extension rate (IER), an estimated droop rate (DR), an estimated reactivated molecules rate (RMR), and an estimated termination failure rate (TFR), the RMR being greater than or equal to zero and the TFR being lesser than one. The method also includes identifying, from the set of candidate sequences of bases, a candidate sequence as corresponding to the sequence for the sample nucleic acid.
Abstract:
Systems and method for determining variants can receive mapped reads and determine a distribution of matched-filter residuals distribution from a plurality of reads at a homopolymer region. The distribution of matched-filter residuals can be fit to uni-modal and bi-modal models. Based on the model that best fits the distribution of matched-filter residuals, the heterozygosity of the sample and the absence or presence of an insertion/deletion in the homopolymer can be determined.
Abstract:
A method for designing test or control sequences may include identifying, using a variant caller, loci with systematic errors present in a plurality of sequencing runs included in a training set of sequencing runs obtained using sequencing-by-synthesis; and selecting a representative set of loci, including selecting from the identified loci an approximately equal number of loci involving errors in A, T, C, and G homopolymers and selecting from the identified loci an approximately equal number of loci involving homopolymers having a length of two, three, and four.
Abstract:
A method for designing test or control sequences may include identifying, using a variant caller, loci with systematic errors present in a plurality of sequencing runs included in a training set of sequencing runs obtained using sequencing-by-synthesis; and selecting a representative set of loci, including selecting from the identified loci an approximately equal number of loci involving errors in A, T, C, and G homopolymers and selecting from the identified loci an approximately equal number of loci involving homopolymers having a length of two, three, and four.
Abstract:
A method for nucleic acid sequencing includes: receiving a signal comprising measurements of a parameter measured in response to a plurality of nucleotide flows flowed in a space comprising a sample nucleic acid; normalizing the signal to obtain a normalized signal; adaptively normalizing the normalized signal to obtain an adaptively normalized signal; and predicting a sequence of base calls corresponding to the sample nucleic acid using the adaptively normalized signal.
Abstract:
A method for nucleic acid sequencing includes (a) disposing a plurality of template polynucleotide strands in a plurality of defined spaces disposed on a sensor array, at least some of the template polynucleotide strands comprising a test or control sequence; (b) exposing a plurality of the template polynucleotide strands in the defined spaces to a series of flows of nucleotide species flowed according to a predetermined ordering; and (c) determining sequence information for a plurality of the template polynucleotide strands in the defined spaces based on the flows of nucleotide species to generate a plurality of sequencing reads corresponding to the template polynucleotide strands, wherein the test or control sequence comprises a sequence determined by identifying, using a variant caller, loci with systematic errors present in a plurality of sequencing runs included in a training set of sequencing runs.
Abstract:
A method of estimating a parameter related to sequencing of a sample nucleic acid template includes: receiving signal data relating to nucleotide incorporation events resulting from a series of flows of nucleotides onto an array of wells including (i) a first well containing the sample nucleic acid template and (ii) a plurality of other sample-containing wells; determining sequence information for the sample nucleic acid template using signal data from the first well; and constructing a phase-state model for a set of nucleotide flows that contributed at least in part to the sequence information, wherein the model includes a signal correction parameter that is determined using signal data from the plurality of other sample-containing wells.
Abstract:
A method for nucleic acid sequencing includes receiving a plurality of observed or measured signals indicative of a parameter observed or measured for a plurality of defined spaces; determining, for at least some of the defined spaces, whether the defined space comprises one or more sample nucleic acids; processing, for at least some of the defined spaces, the observed or measured signal to improve a quality of the observed or measured signal; generating, for at least some of the defined spaces, a set of candidate sequences of bases for the defined space using one or more metrics adapted to associate a score or penalty to the candidate sequences of bases; and selecting the candidate sequence leading to a highest score or a lowest penalty as corresponding to the correct sequence for the one or more sample nucleic acids in the defined space.
Abstract:
A method for nucleic acid sequencing includes: receiving a signal comprising measurements of a parameter measured in response to a plurality of nucleotide flows flowed in a space comprising a sample nucleic acid; normalizing the signal to obtain a normalized signal; adaptively normalizing the normalized signal to obtain an adaptively normalized signal; and predicting a sequence of base calls corresponding to the sample nucleic acid using the adaptively normalized signal.
Abstract:
A method for nucleic acid sequencing includes receiving observed or measured nucleic acid sequencing data from a sequencing instrument that receives and processes a sample nucleic acid in a termination sequencing-by-synthesis process. The method also includes generating a set of candidate sequences of bases for the observed or measured nucleic acid sequencing data by determining a predicted signal for candidate sequences using a simulation framework. The simulation framework incorporates an estimated carry forward rate (CFR), an estimated incomplete extension rate (IER), an estimated droop rate (DR), an estimated reactivated molecules rate (RMR), and an estimated termination failure rate (TFR), the RMR being greater than or equal to zero and the TFR being lesser than one. The method also includes identifying, from the set of candidate sequences of bases, one candidate sequence leading to optimization of a solver function as corresponding to the sequence for the sample nucleic acid.