A graphical user interface on a computer provides for the analysis of location specific data and the presentation of analysis results for visual comparison by a user. Results of the analysis are visually presented as icons subdivided into regions and arranged in such a way that the user is able to associate each icon with a data location. A visual presentation of results in the icons and regions allows a user to visually compare the analysis results in two or more data sets according to location. The graphical user interface further provides for the definition and adjustment of an analysis through the interaction of a user with a graphical representation of the analysis. In some cases, the visual presentation of results tracks the analysis adjustments so the user can visually observe the effects that the adjustments have on the results. A method of interacting with the interface to define an analysis and represent results and a method of presenting two or more data sets using the interface are described. The interface can be used to analyze and visually compare the results of location specific data from a number of sources and is illustrated in a flow cytometry application.

Systems and methods for dynamic visualization of genomic data are provided in which a genomic visualization system adapts presentation of information content according to scale-relevant annotations within a sequence object.

According to some aspects, an information processing device is provided. The information processing device includes circuitry configured to set at least one region of an image of a biological sample and select a motion compensation parameter calculated based at least on a motion of the at least one region. The circuitry is further configured to control display of a result of performing a process on the at least one region using the selected motion compensation parameter.

The invention provides methods and systems for the treatment and diagnosis of pathologic disorders by modulating a physiological state of a target biological entity via exposure of the target entity to a single or a plurality of triggered entities and for transferring of information in a non-direct way and as part of virtual reality interactive environment.

Disclosed herein are methods for improving detection and monitoring of human diseases. The methods can be used to provide spatial and/or developmental localization of the source of each differential mutation within the body. The methods can also be used to generate a mutation map of a subject. And the mutation map can be used to monitoring state(s) of health of one or more tissues of a subject.

Systems and methods are used to display data obtained from a qPCR instrument. Each of two or more samples is probed with a first labeling probe and a second labeling probe. A first data set is received from a qPCR instrument at a first cycle number that includes for each sample a first labeling probe intensity, and a second labeling probe intensity. A second data set is received at a second cycle number that includes for each sample a first labeling probe intensity and a second labeling probe intensity. A first plot of first labeling probe intensity as a function of second labeling probe intensity is created using the first data set. A second plot of first labeling probe intensity as a function of second labeling probe intensity is created using the second data set. The first plot and the second plot are displayed in response to user defined input to provide dynamic and real-time analysis of genotyping data.

A system stores visual content, and displays the visual content on a display unit in an undistorted, overview projection. The system receives input from a user to focus on a topic in the undistorted, overview projection, and transforms the undistorted, overview projection into a focused display showing the topic selected by the user and content related to the topic selected by the user in a continuous sequence of increasingly distorted projections. In the focused display, the content that is not related to the topic selected by the user does not move on the focused display, and the content that is related to the topic selected by the user moves towards the topic selected by the user on the focused display.

A data-driven integrative visualization system and method for summarizing and presenting genomic aberrations, their drug responses and multi-omic data of a patient, is disclosed. Specifically, a method for displaying genomic aberrations and multi-omic data of a patient in an interactive tool which allows the medical practitioner to access underlying supporting biologic and scientific evidence from relevant knowledge bases through a set of graphical interactions, is described. The method comprises the steps of obtaining and inputting multi-omic data of a patient or cohorts, identifying genomic aberrations and their drug responses, and displaying this information in a first level interactive classical/circular ideogram in one or multiple layers on a GUI, from which the user can access and view further information on the gene and molecular levels. The system provides an improved process of integrative analysis on a patient's multi-omic data for effective treatment planning.

A method comprises obtaining results of metagenomics sequencing performed on biological samples from respective sample sources, generating hit abundance score vectors for respective ones of the samples based at least in part on the metagenomics sequencing results, obtaining epidemiological data relating to at least one of a disease, infection or contamination characterized by one or more of the hit abundance score vectors, and generating patient comparative indexes based at least in part on the epidemiological data. The method further comprises obtaining one or more Big Data profiles relating to one or more of the hit abundance score vectors and one or more of the comparative indexes, and providing surveillance functionality utilizing a combination of the hit abundance score vectors and the patient comparative indexes based at least in part on information derived from the one or more Big Data profiles.

Methods for determining a genetic identity of a cell, tissue, organ, or organism, based on type, position, and size of every occurrence of at least one repetitive element in the genome of the cell, tissue, organ, or organism. The methods can include using a computer to generate a graphical representation of the genetic identity of the cell, tissue, organ, or organism, and comparing genetic identity at different times/spaces. Also described herein is a computer implemented Universal Genome Information System, which serves as a genome-RE/TRE information management and analysis platform.