In some embodiments, a method or system for visualizing data generated from one or more reaction devices, chips, or reaction sites may be provided. On a scatter plot, data points may be displayed indicative of results from nucleic amplification, wherein the nucleic acid amplification comprises a first target and a second target and the data points are designated as being indicative of amplification of the first target, the second target, both targets, or neither target. In response to user input, an adjustable threshold may be varied used to designate the data points. And, in response to the varying, designations and a display of the designations may be altered for one or more of the data points whose designation is changed based on the varied threshold.

The present invention relates to a method of evaluation of molecular binding interactions at a sensing surface, and more particularly to a method for evaluation of screening data obtained from an interaction between an analyte in a fluid sample and a ligand immobilized on a sensor surface of a biosensor that is independent of interaction models. Preferably the biosensor is a SPR biosensor.

The invention also relates to a biosensor system arranged to perform the method and a computer program arranged to control the operation of the biosensor system.

A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.

Methods and systems for visually representing genomic mutations are disclosed. An example method can comprise receiving, at a computer, mutation information regarding one or more mutations of a protein. The computer can determine one or more mutations in the amino acid sequence, and can sort the one or more mutations according to a position of the one or more mutations in the amino acid sequence. For each of the one or more mutations, one or more mutation characteristics are determined and a display position can be set. The display position can comprise a horizontal position and a vertical position. A graphical representation of all of the one or more mutations is displayed. All of the one or more mutations are arranged based on the selected display positions, and an alignment position marker connects the display position to a marker indicating the position of the mutated amino acid.

A method includes generating at least first and second histograms respectively for at least first and second sets of vital sign measurements using at least first and second predetermined bins. The first and second sets of the vital sign measurements each include at least two measurements acquired at different times, and the first and second vital sign are different vital signs. The method further includes generating a first score distribution for the first vital sign by mapping each bin of the first predetermined bins to a corresponding predetermined score. The method further includes generating a second score distribution for the second vital sign by mapping each bin of the second predetermined bins to a corresponding predetermined score. The method further includes generating a compound score distribution for the first and second vital signs based on the first and second score distributions, the compound score distribution indicates a patient's health state.

A method for quantifying nucleic acid is provided. The method includes determining a first reference threshold cycle for a first predetermined input quantity for a reference nucleic acid, determining a first target threshold cycle for the first predetermined input quantity for a target nucleic acid, determining a second reference threshold cycle for a second predetermined input quantity for the reference nucleic acid, and determining a second target threshold cycle, by the processor, for the second predetermined input quantity for the target nucleic acid. The method further includes receiving a sample threshold cycle, determining a sample input quantity based on the first and second reference threshold cycle and the first and second target threshold cycle, and displaying the sample input quantity to a user.

An insulin activity map is a tool for assessing a patient's metabolic risk, designing a treatment plan, disseminating the information in a useful way to the patient, and encouraging the patient to remain on a treatment course. The insulin activity map combines a variety of inputs such as insulin sensitivity and insulin production to generate a patient-specific diagnosis and treatment assessment. The insulin activity map fills an important gap in prior art testing methods, providing diagnostic insights that improve clinician and patient understanding of the progression of diabetes, allows at-risk patients to more easily avoid developing diabetes, and helps diabetic and prediabetic patients manage and control the disease.

Systems in a flow cytometer having an interrogation zone and illumination impinging the interrogation zone include: a lens subsystem including a collimating element that collimates light from the interrogation zone, a light dispersion element that disperses collimated light into a light spectrum, and a focusing lens that focuses the light spectrum onto an array of adjacent detection points; a detector array, including semiconductor detector devices, that collectively detects a full spectral range of input light signals, in which each detector device detects a subset spectral range of the full spectral range of light signals; and a user interface that enables a user to create a set of virtual detector channels by grouping detectors in the detector array, such that each virtual detector channel corresponds to a detector group and has a virtual detector channel range including the sum of subset spectral ranges of the detectors in the corresponding detector group.

Notifying original state listeners within a domain model. Identifying listener registration information pertaining to a listener. Monitoring a hierarchical relationship tree for an observable event, whereby the hierarchical relationship tree includes model objects, and whereby an observable event includes one or more of a change to a model object, an error condition associated with a model object, and the hierarchical relationship tree returning to an original state. Determining that a first observable event to the hierarchical relationship tree has occurred. Transmitting a notification to the listener detailing the occurrence of the first observable event. Determining that a second observable event to the hierarchical relationship tree has occurred. Determining that a third observable event to the hierarchical relationship tree has occurred, whereby the third observable event includes the hierarchical relationship tree returning to an original state. Transmitting a notification to the listener detailing the occurrence of the third observable event.

A process includes receiving information associated with a target molecule to be synthesized via a synthetic pathway engine user interface. The process also includes determining, using a synthetic pathway engine, synthetic pathway data for synthesis of the target molecule. In some cases, the process further includes generating a synthetic pathway report user interface that includes information associated with the synthetic pathway data. In other cases, the process further includes initiating automated synthesis of the target molecule using automated chemical synthesis equipment according to the synthetic pathway data.