Abstract: The technology disclosed relates to inter-model prediction score recalibration. In one implementation, the technology disclosed relates to a system including a first model that generates, based on evolutionary conservation summary statistics of amino acids in a target protein sequence, a first pathogenicity score-to-rank mapping for a set of variants in the target protein sequence; and a second model that generates, based on epistasis expressed by amino acid patterns spanning the target protein sequence and a plurality of non-target protein sequences aligned in multiple sequence alignment, a second pathogenicity score-to-rank mapping for the set of variants. The system also includes a reassignment logic that reassigns pathogenicity scores from the first set of pathogenicity scores to the set of variants based on the first and second score-to-rank mappings, and an output logic to generate a ranking of the set of variants based on the reassigned scores.

Abstract: A detection apparatus that includes (a) an array of responsive pads on a substrate surface; (b) an array of pixels, wherein each pixel in the array has a detection zone on the surface that includes a subset of at least two of the pads; and (c) an activation circuit to apply a force at a first and second pad in the subset, wherein the activation circuit is configured to apply a different force at the first pad compared to the second pad, and wherein the activation circuit has a switch to selectively alter the force at the first pad and the second pad.

Abstract: A fluidic device holder configured to orient a fluidic device. The device holder includes a support structure configured to receive a fluidic device. The support structure includes a base surface that faces in a direction along the Z-axis and is configured to have the fluidic device positioned thereon. The device holder also includes a plurality of reference surfaces facing in respective directions along an XY-plane. The device holder also includes an alignment assembly having an actuator and a movable locator arm that is operatively coupled to the actuator. The locator arm has an engagement end. The actuator moves the locator arm between retracted and biased positions to move the engagement end away from and toward the reference surfaces. The locator arm is configured to hold the fluidic device against the reference surfaces when the locator arm is in the biased position.

Abstract: The technology disclosed present systems and methods to produce an enhanced resolution image from images of a target using structured illumination microscopy (SIM). The method includes transforming at least three images of the target captured by a sensor in a spatial domain into a Fourier domain to produce at least three frequency domain matrices that each include first blocks of complex coefficients and redundant second blocks of complex coefficients that are conjugates to the first blocks. The method includes reducing computing resources required to produce the enhanced resolution image by using first blocks of complex coefficients to produce at least three phase-separated half-matrices in the Fourier domain. The method includes performing one or more intermediate transformation on the phase-separated half-matrices to produce realigned shifted half-matrices. The method includes calculating complex coefficients of second blocks in the Fourier domain to produce full matrices from half-matrices.

Abstract: A device for luminescent imaging includes an array of imaging pixels, a photonic structure over the array of imaging pixels, and an array of features over the photonic structure. A first feature of the array of features is over a first pixel of the array of imaging pixels, and a second feature of the array of features is over the first pixel and spatially displaced from the first feature. A first luminophore is within or over the first feature, and a second luminophore is within or over the second feature. The device includes a radiation source to generate first photons having a first characteristic at a first time, and generate second photons having a second characteristic at a second time. The first pixel selectively receives luminescence emitted by the first and second luminophores responsive to the first photons at the first time and second photons at the second time, respectively.

Abstract: Presented herein are altered polymerase enzymes for improved incorporation of nucleotides and nucleotide analogues, in particular altered polymerases that maintain high fidelity under reduced incorporation times, as well as methods and kits using the same.

Abstract: Polynucleotide sequencing methods for sequencing one or more polynucleotide templates use primers bound to a surface as sequencing primers. The surface primers may include at least a portion of a surface oligonucleotide used during cluster formation. The sequencing methods may be used for single stranded sequencing or double stranded sequencing. Double stranded sequencing methods may employ an enzyme that has nick-translation activity. A kit includes all the reagents needed for sequencing does not include sequencing primers. The kit may be used to accomplish the sequencing methods of the present disclosure.

Abstract: The technology disclosed relates to equalizer-based intensity correction for base calling. In particular, the technology disclosed relates to accessing an image whose pixels depict intensity emissions from a target cluster and intensity emissions from additional adjacent clusters, selecting a lookup table that contains pixel coefficients that are configured to increase a signal-to-noise ratio, applying the pixel coefficients to intensity values of the pixels in the image to produce an output, and base calling the target cluster based on the output.

Abstract: An apparatus includes a flow cell body, a plurality of electrodes, an integrated circuit, and an imaging assembly. The flow cell body defines one or more flow channels and a plurality of wells. Each flow channel is configured to receive a flow of fluid. Each well is fluidically coupled with the corresponding flow channel. Each well is configured to contain at least one polynucleotide. Each electrode is positioned in a corresponding well of the plurality of wells. The electrodes are operable to effect writing of polynucleotides in the corresponding wells. The integrated circuit is operable to drive selective deposition or activation of selected nucleotides to attach to polynucleotides in the wells to thereby generate polynucleotides representing machine-written data in the wells. The imaging assembly is operable to capture images indicative of one or more nucleotides in a polynucleotide.

Abstract: A computer-implemented method of predicting phenotypic shift in response to usage of a plurality of drugs on a plurality of phenotypes of a cohort of individuals with a plurality of confounders. The cohort of individuals has associated phenotype measurements, covariate measurements, and drug usage patterns for two separate time points. The phenotype measurements for the first and second time points are covariate-corrected and drug-usage corrected through the use of biostatistics.

Abstract: The technology disclosed relates to generating species-differentiable evolutionary profiles using a weighting logic. In particular, the technology disclosed relates to determining a weighted summary statistic for a given residue category at a given position in a multiple sequence alignment based on one or more weights of one or more sequences in the multiple sequence alignment that have a residue of the given residue category at the given position.

Abstract: The technology disclosed relates to a system for inter-model prediction score recalibration. The system includes a first model that generates, based on evolutionary conservation summary statistics of amino acids in a reference protein sequence, a first set of pathogenicity scores with rankings for variants that mutate the reference sequence to alternate protein sequences. The system further includes a second model that generates, based on epistasis expressed by amino acid patterns spanning a multiple sequence alignment aligning the reference sequence to non-target sequences, a second set of pathogenicity scores with rankings for the variants. The system further includes a rank loss determination logic that determines a rank loss parameter by comparing the two sets of rankings, a loss function reconfiguration logic that reconfigures a loss function based on the rank loss parameter, and a training logic that uses the reconfigured loss function to train the first model.

Abstract: A system comprises chunking logic that chunks (or splits) a multiple sequence alignment (MSA) into chunks, first attention logic that attends to a representation of the chunks and produces a first attention output, first aggregation logic that produces a first aggregated output that contains those features in the first attention output that correspond to masked residues in the plurality of masked residues, mask revelation logic that produces an informed output based on the first aggregated output and a Boolean mask, second attention logic that attends to the informed output and produces a second attention output based on masked residues revealed by the Boolean mask, second aggregation logic that produces a second aggregated output that contains those features in the second attention output that correspond to masked residues concealed by the Boolean mask, and output logic that produces identifications of the masked residues based on the second aggregated output.

Abstract: A first reference genome is segmented into a plurality of bins and high-quality sequenced reads are mapped on a bin-by-bin basis to the plurality of bins in the first reference genome, and a second reference genome is segmented into a plurality of bins and high-quality sequenced reads are mapped on a bin-by-bin basis to the plurality of bins in the second reference genome. A best-mapped bin is identified in the second reference genome based on the greatest degree of match between the best-mapped bin in the second reference genome and a corresponding bin in the first reference genome.

Abstract: The technology disclosed relates to accessing a multiple sequence alignment that aligns a query residue sequence to a plurality of non-query residue sequences, applying a set of periodically-spaced masks to a first set of residues at a first set of positions in the multiple sequence alignment, and cropping a portion of the multiple sequence alignment that includes the set of periodically-spaced masks at the first set of positions, and a second set of residues at a second set of positions in the multiple sequence alignment to which the set of periodically-spaced masks is not applied. The first set of residues includes a residue-of-interest at a position-of-interest in the query residue sequence.

Abstract: The technology disclosed relates to determining feasibility of using a reference genome of a non-target species for variant calling a sample of a target species. In particular, the technology disclosed relates to mapping sequenced reads of a sample of a target species to a reference genome of a non-target species to detect a first set of variants in the sequenced reads of the sample of the target species, and mapping the sequenced reads of the sample of the target species to a reference genome of a pseudo-target species to detect a second set of variants in the sequenced reads of the sample of the target species.

Abstract: A computer-implemented method of quantifying a strength of association of genes associated with a phenotype and a contribution of rare variants to a phenotype response by calculating a weighted burden score for a plurality of associated genes with a specified phenotype, wherein the burden score identifies identifying consequential, non-random association in a cohort between carrier status of each of the associated genes and a phenotype response to presence in the associated genes of one or more rare pathogenic variants. Respective effective strength scores are determined for the consequential, non-random association for genes selected from the associated genes based on respective burden scores at per-gene resolution.

Abstract: The technology disclosed relates to a deep learning network system for evolutionary conservation prediction. In one implementation, the system includes a first model for processing a first multiple sequence alignment that aligns a query sequence with a masked base at a target position to N non-query sequences and predicting a first identity of the masked base at the target position. The system also includes a second model for processing a second multiple sequence alignment that aligns the query sequence to M non-query sequences, where M>N, and predicting a second identity of the masked base at the target position. The system further includes an evolutionary conservation determination logic configured to measure an evolutionary conservation of the masked base at the target position based on the first and second identities of the masked base.

Abstract: A computer-implemented method of performing an optimized burden test for a particular gene, in which an optimal combination of a maximum allele count and a minimum pathogenicity score threshold that maximize significance of burden testing for rare deleterious variants are determined using a grid search protocol. Each combination of maximum allele count and minimum pathogenicity score threshold is tested with a t-test to obtain effect size and p-value. The combination of allele count and pathogenicity score threshold with the most significant p-value is selected as the optimal parameters for the rare deleterious variant burden test for a particular gene.