Patent classifications
G16B99/00
ATTENUATED VIRUS MUTATED AT SITES OF EVOLUTIONARILY CONSERVED RNA STRUCTURE
Attenuated viruses and methods of designing them are disclosed. In one embodiment, there is disclosed an attenuated form of a virulent virus comprising an RNA encoding a viral protein or a nucleic acid sequence transcribable to said RNA, wherein the folding energy or structure of the RNA is changed at positions of evolutionarily conserved RNA structures with respect to that of said RNA encoding said viral protein in the virulent virus so as to bring about attenuation of the virus.
Lung cancer biomarkers and uses thereof
The present application includes biomarkers, methods, devices, reagents, systems, and kits for the detection and diagnosis of lung cancer. In one aspect, the application provides biomarkers that can be used alone or in various combinations to diagnose lung cancer or permit the differential diagnosis of pulmonary nodules as benign or malignant. In another aspect, methods are provided for diagnosing lung cancer in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 18, Table 20, or Table 21, wherein the individual is classified as having lung cancer, or the likelihood of the individual having lung cancer is determined, based on the at least one biomarker value.
Lung cancer biomarkers and uses thereof
The present application includes biomarkers, methods, devices, reagents, systems, and kits for the detection and diagnosis of lung cancer. In one aspect, the application provides biomarkers that can be used alone or in various combinations to diagnose lung cancer or permit the differential diagnosis of pulmonary nodules as benign or malignant. In another aspect, methods are provided for diagnosing lung cancer in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 18, Table 20, or Table 21, wherein the individual is classified as having lung cancer, or the likelihood of the individual having lung cancer is determined, based on the at least one biomarker value.
Systems And User Interface For Collecting A Data Set In A Flow Cytometer
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.
Systems And User Interface For Collecting A Data Set In A Flow Cytometer
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.
Method and device for high throughput cell deformability measurements
A system is disclosed that enables the automated measurement of cellular mechanical parameters at high throughputs. The microfluidic device uses intersecting flows to create an extensional flow region where the cells undergo controlled stretching. Cells are focused into streamlines prior to entering the extensional flow region. In the extensional region, each cell's deformation is measured with an imaging device. Automated image analysis extracts a range of independent biomechanical parameters from the images. These may include cell size, deformability, and circularity. The single cell data that is obtained may then be used to in a variety of ways. Scatter density plots of deformability and circularity may be developed and displayed for the user. Mechanical parameters such as deformability and circularity may be gated or thresholded to identify certain cells of interest or sub-populations of interest. Similarly, the mechanical data obtained using the device may be used as cell signatures.
Method and device for high throughput cell deformability measurements
A system is disclosed that enables the automated measurement of cellular mechanical parameters at high throughputs. The microfluidic device uses intersecting flows to create an extensional flow region where the cells undergo controlled stretching. Cells are focused into streamlines prior to entering the extensional flow region. In the extensional region, each cell's deformation is measured with an imaging device. Automated image analysis extracts a range of independent biomechanical parameters from the images. These may include cell size, deformability, and circularity. The single cell data that is obtained may then be used to in a variety of ways. Scatter density plots of deformability and circularity may be developed and displayed for the user. Mechanical parameters such as deformability and circularity may be gated or thresholded to identify certain cells of interest or sub-populations of interest. Similarly, the mechanical data obtained using the device may be used as cell signatures.
Determining family connections of individuals in a database
Determining relative connections between individuals includes: obtaining identification information of a first individual and identification information of a second individual; determining, based at least in part on a relative connections graph, a relative connections path connecting the first individual, the second individual, and at least one additional individual; and outputting information pertaining to the relative connections path.
Determining family connections of individuals in a database
Determining relative connections between individuals includes: obtaining identification information of a first individual and identification information of a second individual; determining, based at least in part on a relative connections graph, a relative connections path connecting the first individual, the second individual, and at least one additional individual; and outputting information pertaining to the relative connections path.
SYSTEM AND METHOD FOR DATA COMPRESSION USING GENOMIC ENCRYPTION TECHNIQUES
A system and method for data compression with genomic encryption, which uses frequency analysis on data blocks within an input data stream to produce a prefix table, representing a first layer of transformation, and which applies a Burrow's-Wheeler transform (BWT) to the data inside the prefix table, representing a second layer of transformation, and which compresses the transformed data. In some implementations, the system and method may further include applying the BWT to a conditioned stream of genomic data, wherein the conditioned stream of genomic data is accompanied by an error stream comprising the differences between the original data and the encrypted data.