Methods, systems, devices and computer implemented methods of prognosing or classifying patients using a biomarker comprising a plurality of subnetwork modules are disclosed. In some embodiments, the method comprises determining an activity of a plurality of genes in a test sample of a patient, wherein the plurality of genes are associated with the plurality of subnetwork modules. An expression profile is constructed using the activity of the plurality of genes. The dysregulation of each of the plurality of subnetwork modules is determined by calculating a score proportional to a degree of dysregulation in each of the plurality of subnetwork modules from the expression profile. The patient is prognosed or classified by inputting each dysregulation score into a model for predicting patient outcomes for patients having a disease, and inputting a clinical indicator of the patient into the model, to obtain a risk associated with the disease.

An object of the present invention is to provide a novel internal standard gene for gene expression analysis and to provide a gene expression analysis method using the internal standard gene. The present invention provides a gene expression analysis method for a test sample, comprising the steps of: (a) measuring an expression level of a desired gene; (b) measuring at least one internal standard gene selected from the group consisting of ABCF3, FBXW5, MLLT1, FAM234A, PITPNM1, WDR1, NDUFS7, and AP2A1; and (c) comparing the expression level of the desired gene with the expression level of the internal standard gene.

This disclosure provides methods for determining relative abundance of one or more non-host species in a sample from a host. Also provided are methods involving addition of known concentrations of synthetic nucleic acids to a sample and performing sequencing assays to identify non-host species such as pathogens. Also provided are methods of tracking samples, tracking reagents, and tracking diversity loss in sequencing assays.

Disclosed herein are methods for detecting presence of a target nucleic acid (such as an influenza virus nucleic acid) in a sample. In some embodiments, the methods include contacting the sample with a first probe capable of hybridizing to the target nucleic acid and a second probe capable of hybridizing to the target nucleic acid, contacting the resulting complex with one or more gap filling reagents, thereby producing a gap-filled target nucleic acid, isolating and amplifying the gap-filled target nucleic acid. The amplified gap-filled target nucleic acid covalently linked to the substrate is then detected, for example with a detectably labeled probe. Also disclosed herein are probes capable of hybridizing to influenza virus nucleic acids. The disclosure also includes kits for detecting and/or discriminating influenza virus nucleic acids in a sample. In some examples, the kits include two or more of the disclosed probes.

The present invention relates to the field of transcriptomics and provides a method for the controlled identification and/or quantification of transcript variants in samples, comprising providing a reference set of artificial polynucleic acid molecules simulating transcript variants and adding said reference set as external control to samples comprising transcript variants. The present invention further provides such a reference set, as well as a method to produce such a reference set.

Methods are provided for characterizing a sample comprising polynucleotide sequences. The methods can comprise labeling nucleic acid molecules of the sample, translocating the plurality of labeled sample nucleic acid molecules though one or more fluidic nanochannels, detecting physical counts of signals from the labeled sample nucleic acid molecule, and determining a copy number of a genome or a fragment or fragments thereof in the sample.

Provided herein is technology relating to performing methylation assays. In particular, the technology relates to internal controls for methylation assays.

The present invention provides methods of screening for and diagnosing prostate cancer and methods of choosing a therapeutic for prostate cancer based on using KDM5D expression level to identify which patients with hormone sensitive prostate cancer benefit from primary castration and taxane and who with castration resistant prostate cancer would benefit from docetaxel plus an androgen receptor antagonists added to the ongoing castration. The disclosure also provides methods of screening for and diagnosing prostate cancer and methods of choosing a therapeutic for prostate cancer based on a lower KDM5D expression having a more aggressive clinical course of prostate cancer in human patients.

Provided are methods and kits for classifying a subject as being more likely to have benign multiple sclerosis (BMS) or as being more likely to have typical relapsing remitting multiple sclerosis (RRMS). Classification of multiple sclerosis disease course is performed by comparing a level of expression of at least one gene involved in the RNA polymerase I pathway in a cell of the subject to a reference expression data of said at least one gene obtained from a cell of at least one subject pre-diagnosed as having BMS and/or from a cell of at least one subject pre-diagnosed as having typical RRMS, thereby classifying the subject as being more likely to have BMS or as being more likely to have typical RRMS. Also provided are methods of diagnosing and treating multiple sclerosis and methods of monitoring treatment efficiency.

Disclosed are methods for determining whether a melanocyte-containing sample (such as a nevus or other pigmented lesion) is benign or a primary melanoma. These methods can include detecting (at the molecular level, e.g., mRNA, miRNA, or protein) the expression of at least two disclosed genes in a biological sample obtained from a subject. Also provided are arrays and kits that can be used with the methods.