A method comprising receiving, for each of a plurality of subjects having a specified type of disease and receiving a specified therapy for treating the disease, a first biological signature obtained pre-treatment and a second biological signature obtained on-treatment; calculating, for each of the plurality of subjects, a set of values representing a ratio between the first and second biological signatures associated with the respective subject; at a training stage, training a machine learning model on a training set comprising: (i) the calculated sets of values, and (ii) labels associated with an outcome of the specified therapy in each of the subjects; to generate a classifier suitable for predicting a response in a target patient to said specified therapy.

The present disclosure provides a method of improving health, performance, or a combination thereof for one or more livestock animals is provided. The present systems and methods predict an appropriate intervention for improving animal health, performance, or a combination thereof based on biomarker data.

In some aspects, the present disclosure provides methods for enriching amplicons, or amplification products, comprising a concatemer of at least two or more copies of a target polynucleotide. In some embodiments, a method comprises sequencing the amplicons comprising at least two or more copies of a target polynucleotide. In some embodiments, the target polynucleotides comprise sequences resulting from chromosome rearrangement, including but not limited to point mutations, single nucleotide polymorphisms, insertions, deletions, and translocations including fusion genes. In some aspects, the present disclosure provides compositions and reaction mixtures useful in the described methods.

In some aspects, the present disclosure provides methods for enriching amplicons, or amplification products, comprising a concatemer of at least two or more copies of a target polynucleotide. In some embodiments, a method comprises sequencing the amplicons comprising at least two or more copies of a target polynucleotide. In some embodiments, the target polynucleotides comprise sequences resulting from chromosome rearrangement, including but not limited to point mutations, single nucleotide polymorphisms, insertions, deletions, and translocations including fusion genes. In some aspects, the present disclosure provides compositions and reaction mixtures useful in the described methods.

The lack of clear predictors of prostate cancer progression leads to subjective decision-making regarding courses of treatment. The identification of new biomarkers that are predictive of recurrence after radical prostatectomy would advance the field of prostate cancer treatment. Disclosed are miRNAs that can be used as molecular biomarkers to detect or predict the progression of prostate cancer and to adjust a treatment plan accordingly. Furthermore, kits are included for the detection of these miRNAs.

A log of molecular events experienced by a cell and timing indicators for those events are stored in existing polynucleotides through a process of creating a double strand break (“DSB”) in a polynucleotide and inserting a new polynucleotide sequence by repairing the DSB with homology directed repair (“HDR”). The presence, order, and number of new polynucleotide sequences provides a log of events and timing of those events. Cellular mechanisms for creating the DSB and/or repairing with HDR are regulated by intra- or extra-cellular signals. When the log is created in the DNA of a cell, the changes may be heritably passed to subsequent generations of the cell. A correlation between the cellular signals and sequence of inserted HDR templates allows for identification of events and the timing experienced by the cell.

Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.

Computer software products, methods, and systems are described which provide functionality to a user conducting experiments designed to detect and/or identify genetic sequences and other characteristics of a genetic sample, such as, for instance, gene copy number and aberrations thereof. The presently described software allows the user to interact with a graphical user interface which depicts the genetic information obtained from the experiment. The presently disclosed methods and software are related to bioinformatics and biological data analysis. Specifically, provided are methods, computer software products and systems for analyzing and visually depicting genotyping data on a screen or other visual projection. The presently disclosed methods and software allow the user conducting the experiment to differentially filter complex genetic data and information by varying genetic parameters and removing or highlighting visually various regions of genetic data of interest (CytoRegions). These differential filters may be applied by the user to the entire set of genetic data and/or only to the specific CytoRegions of interest.

The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

The present invention provides a method of assessing whether an individual is at high risk or low risk of inflammatory bowel disease (IBD) progression by determining the expression level of two or more genes in a whole blood sample. Also provided are methods for treating IBD in an individual who is determined to be at high risk or low risk for IBD progression, and kits for assessing whether an individual is at high risk or low risk for IBD progression. Arrays, and methods of providing arrays, of patient-identified selected gene expression products from a whole blood sample of a patient are also provided.