Abstract: Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.

Abstract: A biosensor is provided including a detection device and a flow cell mounted to the detection device. The detection device has a detector surface with a plurality of reaction sites. The detection device also includes a filter layer that is configured to at least one of (a) filter unwanted excitation light signals; (b) direct emission signals from a designated reaction site toward one or more associated light detectors that are configured to detect the emission signals from the designated reaction site; or (c) block or prevent detection of crosstalk emission signals from adjacent reaction sites.

Abstract: Systems and methods are disclosed to detect single-nucleotide variations (SNVs) from somatic sources in a cell-free biological sample of a subject by generating training data with class labels; in computer memory, generating a machine learning unit comprising one output for each of adenine (A), cytosine (C), guanine (G), and thymine (T) calls; training the machine learning unit; and applying the machine learning unit to detect the SNVs from somatic sources in the cell-free biological sample of the subject, wherein the cell-free biological sample comprises a mixture of nucleic acid molecules from somatic and germline sources.

Abstract: The disclosure provides methods for processing nucleic acid populations containing different forms (e.g., RNA and DNA, single-stranded or double-stranded) and/or extents of modification (e.g., cytosine methylation, association with proteins). These methods accommodate multiple forms and/or modifications of nucleic acid in a sample, such that sequence information can be obtained for multiple forms. The methods also preserve the identity of multiple forms or modified states through processing and analysis, such that analysis of sequence can be combined with epigenetic analysis.

Abstract: Disclosed herein are methods for use in detection of molecular residual disease. The methods may comprise deep sequencing a panel of genomic regions in cell-free DNA molecules and computer processing sequence reads to detect variants that are indicative of molecular residual disease.

Abstract: Disclosed herein in are methods and systems for determining genetic variants (e.g., copy number variation) in a polynucleotide sample. A method for determining copy number variations includes tagging double-stranded polynucleotides with duplex tags, sequencing polynucleotides from the sample and estimating total number of polynucleotides mapping to selected genetic loci. The estimate of total number of polynucleotides can involve estimating the number of double-stranded polynucleotides in the original sample for which no sequence reads are generated. This number can be generated using the number of polynucleotides for which reads for both complementary strands are detected and reads for which only one of the two complementary strands is detected.

Abstract: Methods are provided herein to improve automatic detection of copy number variation in nucleic acid samples. These methods provide improved approaches for determining baseline copy number of genetic loci within a sample, reduce variation due to features of genetic loci, sample preparation, and probe exhaustion.

Abstract: The present disclosure provides methods for determining a probability that after any of a number of therapeutic interventions, an initial state of a subject, such as somatic cell mutational status of a subject with cancer, will develop a subsequent state. Such probabilities can be used to inform a health care provider as to particular courses of treatment to maximize probability of a desired outcome for the subject.

Abstract: Disclosed herein are compositions and methods for detecting the presence or absence of cancer or a specific cancer type in a subject. In some embodiments, the methods comprise obtaining cell-free nucleic acids present in a blood sample obtained from the subject, and detecting the presence or absence of nucleic sequences produced by bacteria associated with the specific cancer type in the sequenced cell free nucleic acids. Such information may be used to detect the presence or absence of cancer or a specific cancer type in a subject, e.g., in conjunction with somatic cell genetic information, which may be obtained, e.g., by capturing cell-free DNA using one or both of a sequence-variable target region set and an epigenetic target region set, which may be used to determine the presence or absence of sequence variants and/or epigenetic features indicative of the cancer or absence thereof.

Abstract: Disclosed herein in are methods and systems for determining genetic variants (e.g., copy number variation) in a polynucleotide sample. A method for determining copy number variations includes tagging double-stranded polynucleotides with duplex tags, sequencing polynucleotides from the sample and estimating total number of polynucleotides mapping to selected genetic loci. The estimate of total number of polynucleotides can involve estimating the number of double-stranded polynucleotides in the original sample for which no sequence reads are generated. This number can be generated using the number of polynucleotides for which reads for both complementary strands are detected and reads for which only one of the two complementary strands is detected.

Abstract: A flow cell including inlet and outlet ports in fluid communication with each other through a flow channel that extends therebetween. The flow channel includes a diffuser region and a field region that is located downstream from the diffuser region. The field region of the flow channel directs fluid along reaction sites where desired reactions occur. The fluid flows through the diffuser region in a first flow direction and through the field region in a second flow direction. The first and second flow directions being substantially perpendicular.

Abstract: Disclosed herein are methods for use in detection of molecular residual disease. The methods may comprise deep sequencing a panel of genomic regions in cell-free DNA molecules and computer processing sequence reads to detect variants that are indicative of molecular residual disease.

Abstract: Disclosed herein in are methods and systems for determining genetic variants (e.g., copy number variation) in a polynucleotide sample. A method for determining copy number variations includes tagging double-stranded polynucleotides with duplex tags, sequencing polynucleotides from the sample and estimating total number of polynucleotides mapping to selected genetic loci. The estimate of total number of polynucleotides can involve estimating the number of double-stranded polynucleotides in the original sample for which no sequence reads are generated. This number can be generated using the number of polynucleotides for which reads for both complementary strands are detected and reads for which only one of the two complementary strands is detected.

Abstract: A flow cell including inlet and outlet ports in fluid communication with each other through a flow channel that extends therebetween. The flow channel includes a diffuser region and a field region that is located downstream from the diffuser region. The field region of the flow channel directs fluid along reaction sites where desired reactions occur. The fluid flows through the diffuser region in a first flow direction and through the field region in a second flow direction. The first and second flow directions being substantially perpendicular.

Abstract: This disclosure provides, among other things, methods for generating and applying therapeutic interventions. The methods involve, for example, (a) sequencing polynucleotides from cancer cells from a subject; (b) identifying and quantifying somatic mutations in the polynucleotides; (c) developing a profile of tumor heterogeneity in the subject indicating the presence and relative quantity of a plurality of the somatic mutations in the polynucleotides, wherein different relative quantities indicates tumor heterogeneity; and (d) determining a therapeutic intervention for a cancer exhibiting the tumor heterogeneity, wherein the therapeutic intervention is effective against a cancer having the profile of tumor heterogeneity determined.

Abstract: Systems and methods are disclosed to detect single-nucleotide variations (SNVs) from somatic sources in a cell-free biological sample of a subject by generating training data with class labels; in computer memory, generating a machine learning unit comprising one output for each of adenine (A), cytosine (C), guanine (G), and thymine (T) calls; training the machine learning unit; and applying the machine learning unit to detect the SNVs from somatic sources in the cell-free biological sample of the subject, wherein the cell-free biological sample comprises a mixture of nucleic acid molecules from somatic and germline sources.

Abstract: Disclosed herein are methods for use in detection of single nucleotide variants (SNVs) or indels. The methods may comprise enriching cell-free DNA molecules for a panel of genomic regions and deep sequencing the enriched cfDNA to detect the SNVs or indels.

Abstract: Disclosed herein are methods for use in detection of single nucleotide variants (SNVs) or indels. The methods may comprise enriching cell-free DNA molecules for a panel of genomic regions and deep sequencing the enriched cfDNA to detect the SNVs or indels.

Abstract: Disclosed herein are methods for use in detection of molecular residual disease. The methods may comprise deep sequencing a panel of genomic regions in cell-free DNA molecules and computer processing sequence reads to detect variants that are indicative of molecular residual disease.

Abstract: The present disclosure provides methods for determining a probability that after any of a number of therapeutic interventions, an initial state of a subject, such as somatic cell mutational status of a subject with cancer, will develop a subsequent state. Such probabilities can be used to inform a health care provider as to particular courses of treatment to maximize probability of a desired outcome for the subject.