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: 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: 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.

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 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: 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 variant calling of sequenced reads of a sample of a target species against a reference genome of a pseudo-target species. Low-quality variants are identified as false positive variants that are present in the second set of variants but absent from the first set of variants.

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 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: 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: Disclosed herein are systems and methods for collapsing sequencing reads and identifying similar sequencing reads. In one example, a method includes generating a plurality of first identifier subsequences from a first identifier sequence of each nucleotide sequencing read and generating a first signature for the nucleotide sequencing read by applying hashing to the plurality of first identifier subsequences. The method may include assigning the nucleotide sequencing read to a first particular bin of a first data structure based on the first signature and determining a nucleotide sequence for each first particular bin of the first data structure with one or more nucleotide sequencing reads assigned.

Abstract: In some examples, an instrument for measuring a volume of a liquid is provided. A gas flow rate sensor may measure a rate of flow of a pressurized gas to a reservoir storing a liquid. A controller may be coupled to the gas flow rate sensor and may calculate a volume of the liquid that the flow of pressurized gas displaces from the reservoir. In some examples, a method of measuring a volume of a liquid is provided. Using a gas flow rate sensor, a flow of pressurized gas may be measured. The flow of the pressurized gas may be delivered to a reservoir storing a liquid. A volume of the liquid in the reservoir may be displaced using the flow of pressurized gas. The measurement of the flow of the pressurized gas may be used to calculate the volume of the liquid that is displaced.

Abstract: The invention relates to methods for pairwise sequencing of a double-stranded polynucleotide template, which permit the sequential determination of nucleotide sequences in two distinct and separate regions on complementary strands of the double-stranded polynucleotide template. The two regions for sequence determination may or may not be complementary to each other.

Abstract: Flow cells systems and corresponding methods are provided. The flow cells systems may include a socket comprising a base portion, a plurality of electrical contacts and a cover portion that includes a first port. The flow cells systems may also include a flow cell device secured within an enclosure of the socket. The flow cell device may comprise a frameless light detection device comprising a base wafer portion, a plurality of dielectric layers, a reaction structure, a plurality of light guides, a plurality of light sensors, and device circuitry electrically coupled to the light sensors. The flow cell device may also comprise a lid forming a flow channel over the reaction structure that includes a second port in communication with the flow channel and the first port of the socket. The device circuitry of the light detection device may be electrically coupled to the electrical contacts of the socket.

Abstract: Flexible authentication technologies customized to particular tenants of a data center network can be implemented. For example, an administrator can specify a primary authentication server and specify at which data centers different applications are to be hosted for a given tenant. End users can be shielded from the complexities of implementing such configuration details. For example, single sign-on authentication can be implemented, even when applications are configured to be hosted in different data centers. Enterprise tenants can thus control where applications are hosted and enforce data containment scenarios without encumbering users with additional tasks. Collaboration and application-to-application authentication can be achieved.

Abstract: An example of a flow cell includes a substrate; a first primer set attached to a first region on the substrate, the first primer set including an un-cleavable first primer and a cleavable second primer; and a second primer set attached to a second region on the substrate, the second primer set including a cleavable first primer and an un-cleavable second primer.

Abstract: An example sensor includes a flow cell, a detection device, and a controller. The flow cell includes a passivation layer having opposed surfaces and a reaction site at a first of the opposed surfaces. The flow cell also includes a lid operatively connected to the passivation layer to partially define a flow channel between the lid and the reaction site. The detection device is in contact with a second of the opposed surfaces of the passivation layer, and includes an embedded metal layer that is electrically isolated from other detection circuitry of the detection device. The controller is to ground the embedded metal layer.

Abstract: This application describes methods of preparing an immobilized library of tagged RNA fragments. Also described herein are a number of methods of preparing DNA and RNA sequencing libraries from a single sample. These methods can include library preparation from single cells.

Abstract: A method for spatially tagging nucleic acids of a biological specimen, including steps of (a) providing a solid support comprising different nucleic acid probes that are randomly located on the solid support, wherein the different nucleic acid probes each includes a barcode sequence that differs from the barcode sequence of other randomly located probes on the solid support; (b) performing a nucleic acid detection reaction on the solid support to locate the barcode sequences on the solid support; (c) contacting a biological specimen with the solid support that has the randomly located probes; (d) hybridizing the randomly located probes to target nucleic acids from portions of the biological specimen; and (e) modifying the randomly located probes that are hybridized to the target nucleic acids, thereby producing modified probes that include the barcode sequences and a target specific modification, thereby spatially tagging the nucleic acids of the biological specimen.