Abstract: Computer software products, methods, and systems are described which provide functionality to a user conducting experiments designed to detect and/or identify genetic sequences and other characteristics of a genetic sample, such as, for instance, gene copy number and aberrations thereof. The presently described software allows the user to interact with a graphical user interface which depicts the genetic information obtained from the experiment. The presently disclosed methods and software are related to bioinformatics and biological data analysis. Specifically, provided are methods, computer software products and systems for analyzing and visually depicting genotyping data on a screen or other visual projection. The presently disclosed methods and software allow the user conducting the experiment to differentially filter complex genetic data and information by varying genetic parameters and removing or highlighting visually various regions of genetic data of interest (CytoRegions).

Abstract: Computer software products, methods, and systems are described which provide functionality to a user conducting experiments designed to detect and/or identify genetic sequences and other characteristics of a genetic sample, such as, for instance, gene copy number and aberrations thereof. The presently described software allows the user to interact with a graphical user interface which depicts the genetic information obtained from the experiment. The presently disclosed methods and software are related to bioinformatics and biological data analysis. Specifically, provided are methods, computer software products and systems for analyzing and visually depicting genotyping data on a screen or other visual projection. The presently disclosed methods and software allow the user conducting the experiment to differentially filter complex genetic data and information by varying genetic parameters and removing or highlighting visually various regions of genetic data of interest (CytoRegions).

Abstract: Computer software products, methods, and systems are described which provide functionality to a user conducting experiments designed to detect and/or identify genetic sequences and other characteristics of a genetic sample, such as, for instance, gene copy number and aberrations thereof. The presently described software allows the user to interact with a graphical user interface which depicts the genetic information obtained from the experiment. The presently disclosed methods and software are related to bioinformatics and biological data analysis. Specifically, provided are methods, computer software products and systems for analyzing and visually depicting genotyping data on a screen or other visual projection. The presently disclosed methods and software allow the user conducting the experiment to differentially filter complex genetic data and information by varying genetic parameters and removing or highlighting visually various regions of genetic data of interest (CytoRegions).

Abstract: Computer software products, methods, and systems are described which provide functionality to a user conducting experiments designed to detect and/or identify genetic sequences and other characteristics of a genetic sample, such as, for instance, gene copy number and aberrations thereof. The presently described software allows the user to interact with a graphical user interface which depicts the genetic information obtained from the experiment. The presently disclosed methods and software are related to bioinformatics and biological data analysis. Specifically, provided are methods, computer software products and systems for analyzing and visually depicting genotyping data on a screen or other visual projection. The presently disclosed methods and software allow the user conducting the experiment to differentially filter complex genetic data and information by varying genetic parameters and removing or highlighting visually various regions of genetic data of interest (CytoRegions).

Abstract: Methods are disclosed for predicting the potential of a hybridization oligonucleotide of length greater than about 20 nucleotides to hybridize to a target nucleotide sequence. The method involves evaluating predictor oligonucleotides based on one or more parameters. A subset of oligonucleotides within the predetermined number of predictor oligonucleotides is selected based on an examination of the parameter and application of a rule that rejects some of the oligonucleotides identified above. Oligonucleotides are identified in the selected subset, viewed according to order of position along the nucleotide sequence, that are in clusters along a region of the nucleotide sequence. The clusters are ranked in order of number of oligonucleotides. A hybridization oligonucleotide is selected for each cluster, in descending order of cluster rank. The selected hybridization oligonucleotide has as its central nucleotide the central nucleotide of a region of the nucleotide sequence that corresponds to the cluster.