Abstract: Methods of evaluating candidate CGH probe nucleic acid sequences are provided. Aspects of the methods include providing a candidate CGH probe nucleic acid sequence for a target sequence of a copy number variation (CNV) of a genome. A proximity score is then determined for the candidate CGH probe nucleic acid sequence and employed to evaluate the sequence. Aspects of the invention further include computer programming and systems that include the same which are configured to evaluate candidate CGH probe nucleic acid sequences using a proximity score.

Abstract: Gene expression data, in particular gene expression profiles, are created and used in the identification, monitoring and treatment of disease and characterization of biological conditions. Profile data sets are derived from subject samples and include quantitative substantially repeatable measures of a distinct amount of RNA or protein constituent in a panel selected to enable evaluation of a biological condition. Such profile data sets may be used to provide an index indicative of the biological state of a subject, which may be compared to a normative value of the index determined with respect to a relevant population of subjects.

Abstract: The present invention relates to genetic analysis and evaluation utilizing copy-number variants or polymorphisms. The methods utilize array comparative genomic hybridization and PCR assays to identify the significance of copy number variations in a subject or subject group.

Abstract: The present invention relates to a method and system for determining whether an ordered genetic test will duplicate at least one existing genetic test result. The method includes receiving an ordered genetic test that is for a particular genetic sequence or variant thereof for an individual. The method further includes determining whether the individual has at least one existing genetic test result for the particular genetic sequence or variant thereof. Upon determining that the individual has at least one existing genetic test result for the particular genetic sequence or variant thereof, a notification of the existence of the at least one existing genetic test result is provided.

Abstract: Disclosed are methods of identifying microRNA motifs or microRNA precursors for a target gene or a set of target genes. Also disclosed are related computer-readable media.

Abstract: Methods and compositions for the identification of breast cancer grade signatures are provided. The signature profiles are identified based upon multiple sampling of reference breast tissue samples from independent cases of breast cancer and provide a reliable set of molecular criteria for identification of cells as being in one or more particular stages and/or grades of breast cancer.

Abstract: Detailed information of each analysis subject partial network is displayed on a left pane of a screen. The detailed information includes the number of nodes, the number of edges, and accumulative coverage of the analysis subject partial network for each disease. Based on the detailed information, a user can designate the analysis subject partial network of a disease the user wishes to analyze. When the user has designated the disease, a network diagram indicating a partial network related to the designated disease is displayed on a right pane.

Abstract: The present invention provides systems and methods that utilize an information architecture for disambiguating scientific names and other classification labels and the entities to which those names are applied, as well as a means of accessing data on those entities in a networked environment using persistent, unique identifiers.

Abstract: A method of determining kinetic parameters for a reversible molecular interaction between a ligand immobilized to a solid support surface and a binding partner to the ligand in solution, comprises sequentially, without intermediate regeneration or renewal of the immobilized ligand, flowing a plurality of fluid volumes containing different known concentrations of the binding partner over the solid support surface, monitoring the momentary amount of binding partner bound to the solid support surface related to time and solution concentration of binding partner and collecting the binding data, and determining the kinetic parameters by globally fitting a predetermined kinetic model for the interaction between the binding partner and the immobilized ligand to the collected binding data, which model allows for mass transport limitation at the solid support surface.

Abstract: An apparatus and method for performing similarity searching on a data stream with respect to a query string are disclosed, where the data stream comprises a plurality of data substrings, and where the query string comprises a plurality of query substrings. A programmable logic device is used to filter the data stream to find a plurality of possible matches between the data substrings and a plurality of the query substrings, wherein the data substrings and the query substrings comprise a plurality of characters. From these possible matches, a determination can be made as to a similarity between the query string and at least a portion of the data stream.

Abstract: The present invention provides methods for analyzing a combination of biomarkers to individualize tyrosine kinase inhibitor therapy in patients who have been diagnosed with cancer. In particular, the assay methods of the present invention are useful for predicting, identifying, or monitoring the response of a tumor, tumor cell, or patient to treatment with a tyrosine kinase inhibitor using an algorithm based upon biomarker profiling. The assay methods of the present invention are also useful for predicting whether a patient has a risk of developing toxicity or resistance to treatment with a tyrosine kinase inhibitor. In addition, the assay methods of the present invention are useful for monitoring tyrosine kinase inhibitor therapy in a patient receiving the drug to evaluate whether the patient will develop resistance to the drug.

Abstract: The present embodiments relate to a system and method of measuring the methylation level of DNA. Some embodiments relate to a system and method of measuring methylation level of DNA with a gene array.

Abstract: A robust classification method for cancer detection from mass spectrometry data includes inputting the mass spectrometry data, preprocessing the spectrometry data, conducting robust feature selection, generating predictions for the test data sets using multiple data classifiers, the multiple data classifiers including artificial neural networks, support vector machines, weighted voting on data patterns, classification and regression trees, k-nearest neighbor classification, and logistic regression, and constructing and validating a meta-classifier by combining individual predictions of the multiple data classifiers to generate a robust prediction of a phenotype. The test data sets are used exclusively for validation of the meta-classifier.

Abstract: The present invention provides novel methods and kits for diagnosing the presence of cancer within a patient, and for determining whether a subject who has cancer is susceptible to different types of treatment regimens. The cancers to be tested include, but are not limited to, prostate, breast, lung, gastric, ovarian, bladder, lymphoma, mesothelioma, medulloblastoma, glioma, and AML. Identification of therapy-resistant patients early in their treatment regimen can lead to a change in therapy in order to achieve a more successful outcome. One embodiment of the present invention is directed to a method for diagnosing cancer or predicting cancer-therapy outcome by detecting the expression levels of multiple markers in the same cell at the same time, and scoring their expression as being above a certain threshold, wherein the markers are from a particular pathway related to cancer, with the score being indicative or a cancer diagnosis or a prognosis for cancer-therapy failure.

Abstract: A method and systems for locating a source of particles, molecules, or fragments of molecules using particle, molecule, or fragment of molecule reception rate is disclosed. According to the invention, the particle, molecule, or fragment of molecules diffusion parameters in the search space are determined and a lattice is designed on the search space. After having determined whether or not at least one particle, molecule, or fragment of molecule is detected by a sensor, a probability is computed for each node of said search space lattice. The probability associated to each node of the search space lattice corresponds to the probability that the particle, molecule, or fragment of molecule source is located on the node. Then, the move of the sensor is evaluated according to the entropy of the computed probabilities.

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, systems and computer readable media for quantifying and removing offset bias signals in a chemical array data set having one or more channels. In one embodiment, for each channel of data in the data set, a first set of features is selected from the data set. Surface intensities are calculated for features in the first selected set of features and surface intensifies of features not in the first selected set are calculated from the calculated surface intensities. A second set of features is selected, the intensity values of which are within a range of correspondingly located surface intensity values defined by upper and lower threshold intensities. Secondary surface intensifies are calculated for features in the second selected set of features and secondary surface intensities for all other locations on the array that were not locations corresponding to the features having secondary surface intensities calculated therefore, are calculated.

Abstract: The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

Abstract: Provided is a method for mapping traits in organisms, in particular in plants. The method comprises a) providing a population of SDR-0 organisms, in particular plants, that each arise from one member of a population of unreduced cells resulting from second division restitution, in particular a population of unreduced spores; b) producing SDR-1 progeny populations of each of these SDR-0 organisms; c) phenotyping the SDR-1 progeny populations to identify segregating traits within each SDR-1 progeny population; d) if segregating progeny are present in a SDR-1 progeny population, genotyping the corresponding SDR-0 organism and comparing the genotype thereof with the genotype of the other SDR-0 organisms to identify heterozygous chromosomal regions associated with the occurrence of the segregating trait identified in the SDR-1 progeny population.

Abstract: Least Square Deconvolution (LSD) uses quantitative allele peak data derived obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.