Abstract: Methods for processing data using information gained from examining biological materials identifies and characterized probes for Single Nucleotide Polymorphisms and identifies Off Target Variants.

Abstract: Methods for processing data using information gained from examining biological materials identifies and characterized probes for Single Nucleotide Polymorphisms and identifies Off Target Variants.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: The invention relates to the selection of a collection of relevant single nucleotide polymorphisms across a genome to design a nucleic acid probe array. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Abstract: The invention relates to the selection of a collection of relevant single nucleotide polymorphisms across a genome to design a nucleic acid probe array. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Abstract: Methods, kits and arrays of nucleic acid probes for genotyping large numbers of human SNPs in parallel are provided. A set of more than 100,000 human SNPs, known to be biallelic in at least two populations is provided. Allele specific perfect match probes and genotyping probe sets are provided for each allele of each biallelic SNP in a set of human SNPs that is useful for genetic analysis within and across populations. Probe sets that include perfect match and mismatch probes are provided. The probe sets are suitable for inclusion in an array. The invention provides the SNP and surrounding sequence and provides the sequences in such a way as to make them available for a variety of analyses including genotyping. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Abstract: Methods, systems and computer software products are provided for determining genotype of a sample using a plurality of probes. In one preferred embodiment, a tentative genotype call is made based upon the relative allele signals. Pattern recognition is then used to validate the tentative call.

Abstract: The invention relates to the selection of a collection of relevant single nucleotide polymorphisms across a genome to design a nucleic acid probe array. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data. The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: A computer program product, and related systems and methods, are described that processes emission intensity data corresponding to probes of a biological probe array. The computer program includes a genotype and statistical analysis manager that determines absolute or relative expression values based, at least in part, on a statistical measure of the emission intensity data and at least one user-selectable statistical parameter. The analysis manager may also determine genotype calls for one or more probes based, at least in part, on the emission intensity data, The analysis manager may further display the absolute or relative expression values based, at least in part, on at least one user-selectable display parameter and/or a measure of normalized change between genotype calls. The measure of normalized change may be based, at least in part, on a comparison of genotype calls and a reference value.

Abstract: Methods, kits and arrays of nucleic acid probes for genotyping large numbers of human SNPs in parallel are provided. A set of more than 100,000 human SNPs, known to be biallelic in at least two populations is provided. Allele specific perfect match probes and genotyping probe sets are provided for each allele of each biallelic SNP in a set of human SNPs that is useful for genetic analysis within and across populations. Probe sets that include perfect match and mismatch probes are provided. The probe sets are suitable for inclusion in an array. The invention provides the SNP and surrounding sequence and provides the sequences in such a way as to make them available for a variety of analyses including genotyping. As such, the invention relates to diverse fields impacted by the nature of genetics, including biology, medicine, and medical diagnostics.

Abstract: Methods, systems and computer software products are provided for determining genotype of a sample using a plurality of probes. In one preferred embodiment, a tentative genotype call is made based upon the relative allele signals. Pattern recognition is then used to validate the tentative call.

Abstract: Methods, systems and computer software products are provided for determining genotype of a sample using a plurality of probes. In one preferred embodiment, a tentative genotype call is made based upon the relative allele signals. Pattern recognition is then used to validate the tentative call.

Abstract: Methods and computer software products are provided for selecting nucleic acid probes. In one embodiment, perfect match intensity, mismatch intensity and the slope of quantitative response of a probe are predicted. A unified quality score is calculated. Probes are selected based on the unified quality score.

Abstract: A method for calling the genotype of a sample is described comprising the acts of receiving emission data for one or more target sequences each hybridized to a plurality of probe sets, where each of the probe sets comprises a plurality of probe features; calculating a set of values for each of the probe sets associated with each target sequence; selecting one of the set of values for each of the probe sets associated with each target sequence, wherein the value is selected if it is greater than a reference value; determining a significance value from the selected values of all the probe sets associated with each target sequence; and producing a genotype call for each target sequence based upon the significance value.

Abstract: Methods, systems and computer software products are provided for determining genotype of a sample using a plurality of probes. In one preferred embodiment, a tentative genotype call is made based upon the relative allele signals. Pattern recognition is then used to validate the tentative call.

Abstract: The present invention includes methods for predicting the quantitative response of probes on a microarray. In a preferred embodiment, sequence dependent parameters are predicted and then used to predict probe response.

Abstract: Systems and methods for detecting monomer changes in a sample when an unknown quantity of expected monomers may also be present. Homogeneous and heterogeneous samples are exposed to polymer probes for hybridization. The hybridization affinities of the polymer probes to the samples are then compared to determine differences between the polymers in the samples. Accordingly, deletion, substitution and insertion mutations may be detected in a heterogeneous sample of nucleic acids.