Abstract: The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.

Abstract: A system, method and software arrangement are provided that use a fast adaptive multiscale procedure to characterize a random set of points spanning a high dimensional Euclidean space, and concentrated around special lower dimensional subsets. The procedure can be adapted to analyze gene expression data from microarray experiments, and may be applied generally to existing datasets without regard to whether a particular model exists to otherwise describe the dataset. The procedure accordingly can be used for identifying and mathematically isolating stable sets of data points in a given dataset from those in the same dataset that deviate from a stable model under various conditions.

Abstract: The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.

Abstract: The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.

Abstract: System, process and software arrangement produces high resolution, high accuracy, ordered, genome wide haplotyped maps from single molecule based approximate ordered maps and the location of genes responsible for genetic diseases are determined by performing an association study using a population of genome wide haplotyped maps. This can also be used with Optical Mapping data to assemble a genome wide haplotyped restriction map based on multiple distinguishable restriction enzymes. This invention can also be used with any other single molecule process that can produce approximate ordered physical map from randomly broken DNA pieces of a particular genome.

Abstract: A system, method and software arrangement are provided that use a fast adaptive multiscale procedure to characterize a random set of points spanning a high dimensional Euclidean space, and concentrated around special lower dimensional subsets. The procedure can be adapted to analyze gene expression data from microarray experiments, and may be applied generally to existing datasets without regard to whether a particular model exists to otherwise describe the dataset. The procedure accordingly can be used for identifying and mathematically isolating stable sets of data points in a given dataset from those in the same dataset that deviate from a stable model under various conditions.

Abstract: The present invention relates to a method, system and software arrangement for determining the co-associations of allele types across consecutive loci and hence for reconstructing two haplotypes of a diploid individual from genotype data generated by mapping experiments with single molecules, families or populations. The haplotype reconstruction system, method and software arrangement of the present invention can utilize a procedure that is nearly linear in the number of polymorphic markers examined, and is therefore quicker, more accurate, and more efficient than other population-based approaches. The system, method, and software arrangement of the present invention may be useful to assist with the diagnosis and treatment of any disease, which has a genetic component.