A method includes: generating a plurality of individuals of a current generation in accordance with a plurality of individuals of a previous generation to acquire values of an objective function for individuals each representing a variable by evolutionary computation; calculating, for each of partial individuals of the plurality of individuals of the current generation generated by the generating processing, a first value of the objective function by a predetermined method; approximately calculating, for each of the plurality of individuals of the current generation, a second value of the objective function with lower precision than the predetermined method; computing a fitness difference representing a difference between the plurality of individuals of the current generation in accordance with the first value or the second value; and controlling the precision of the approximate calculation based on the fitness difference and a precision difference between the first value and the second value.

Disclosed herein are a method for analyzing a genetic interaction to reduce a false positive in gene screening for at least one gene cluster associated with at least one type of cells by deriving the genetic interaction and a synthetic partner with at least one profile selected from the group consisting of a mutation profile, a loss-of-function profile, and an expression profile; and a system using same.

Disclosed herein are a method for analyzing a genetic interaction to reduce a false positive in gene screening for at least one gene cluster associated with at least one type of cells by deriving the genetic interaction and a synthetic partner with at least one profile selected from the group consisting of a mutation profile, a loss-of-function profile, and an expression profile; and a system using same.

Described herein is a discovery Platform Technology for analyzing a drug-induced toxicity condition, such as cardiotoxicity via model building.

Described herein is a discovery Platform Technology for analyzing a drug-induced toxicity condition, such as cardiotoxicity via model building.

Computational methods used for large scale scaffolding of a genome assembly are provided. Such methods may include a step of applying a location clustering model to a test set of contigs to form two or more location cluster groups, each location cluster group comprising one or more location-clustered contigs; a step of applying an ordering model to each of the two or more location cluster groups to form an ordered set of one or more location-clustered contigs within each cluster group; and a step of applying an orienting model to each ordered set of one or more location-clustered contigs to assign a relative orientation to each of the location-clustered contigs within each location cluster group. In some aspects, the test set of contigs are generated from aligning a set of reads generated by a chromosome conformation analysis technique (e.g., Hi-C) with a draft assembly, a reference assembly, or both.

Computational methods used for large scale scaffolding of a genome assembly are provided. Such methods may include a step of applying a location clustering model to a test set of contigs to form two or more location cluster groups, each location cluster group comprising one or more location-clustered contigs; a step of applying an ordering model to each of the two or more location cluster groups to form an ordered set of one or more location-clustered contigs within each cluster group; and a step of applying an orienting model to each ordered set of one or more location-clustered contigs to assign a relative orientation to each of the location-clustered contigs within each location cluster group. In some aspects, the test set of contigs are generated from aligning a set of reads generated by a chromosome conformation analysis technique (e.g., Hi-C) with a draft assembly, a reference assembly, or both.

The present invention relates to systems and methods for improving the accuracy of disease diagnosis and to associated diagnostic tests involving the correlation of measured analytes with binary outcomes (e.g., not-disease or disease), as well as higher-order outcomes (e.g., one of several phases of a disease). Methods of the present invention use biomarker sets, preferably those with orthogonal functionality, to obtain concentration and proximity score values for disease and non-disease states. The biomarker set's proximity scores are graphed on an orthogonal grid, with one dimension for each biomarker. The proximity scores and orthogonal gridding is then used to calculate a disease state or non-disease state diagnosis for the patient.

The present invention relates to systems and methods for improving the accuracy of disease diagnosis and to associated diagnostic tests involving the correlation of measured analytes with binary outcomes (e.g., not-disease or disease), as well as higher-order outcomes (e.g., one of several phases of a disease). Methods of the present invention use biomarker sets, preferably those with orthogonal functionality, to obtain concentration and proximity score values for disease and non-disease states. The biomarker set's proximity scores are graphed on an orthogonal grid, with one dimension for each biomarker. The proximity scores and orthogonal gridding is then used to calculate a disease state or non-disease state diagnosis for the patient.

The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.