Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest). Several computationally efficient approaches for identifying the bioattribute combinations are incorporated.

Abstract: A method, software, database and system for determining optimal career choices, psychological profiles (i.e., mental health profiles) and genetic based predispositions of an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with career, psychological and other genetically influenced attributes derived from other individuals.

Abstract: A method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of attribute combinations that co-associate with the query attribute (i.e., an attribute of interest). Several computationally efficient approaches for identifying the attribute combinations are incorporated.

Abstract: A bioinformatics method, software, database and system are presented in which statistical predictions are generated to indicate an individual's predisposition toward each of a plurality of query attributes (i.e., attributes of interest). The predictions are generated based on the identification of predisposing attribute combinations within the attribute profile of the individual and corresponding statistical results which indicate the strength of association of those predisposing attribute combinations with the query attributes.

Abstract: A method and system are presented in which the attributes associated with individuals having a query attribute of interest (query-attribute-positive individuals) are compared against attributes associated with individuals not having the query attribute of interest (query-attribute-negative individuals) to create to create a compilation of attribute combinations that co-occur with the query attribute.

Abstract: A method, software, database and system for determining an approach to achieve a desired lifestyle, behavioral disposition, and genetic based predisposition for an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with relevant desirable or undesirable attributes derived from other individuals.

Abstract: A method, software, database and system for determining approaches for an individual to achieve a goal or prevent an undesired outcome are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful goal achievement or outcome prevention in other individuals.

Abstract: A method, software, database and system for predicting the longevity of an individual and for determining an optimal insurance plan for an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with known longevities and optimized insurance plans derived from other individuals.

Abstract: A bioinformatics method, software, database and system are presented in which combinations of pangenetic and non-pangenetic attributes that are most likely to co-associate with a query attribute (i.e., an attribute of interest) are identified from a database containing attribute combinations and corresponding statistical results that indicate the strength of association of the attribute combinations with the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which attributes that modify an individual's predisposition for association with a query attribute (i.e., an attribute of interest) are identified. A predetermined set of attribute combinations that are statistically associated with the query attribute is used as the basis for identifying those attributes that can be added to or eliminated from the attribute profile of the individual in order to modify the individual's statistical predisposition for association with the query attribute.

Abstract: A bioinformatics method, software, database and system for expanding attribute profiles are presented in which primary attributes from an attribute profile of an individual are used to derive secondary attributes that can be added to the individual's attribute profile to generate an expanded attribute profile having a higher strength of association with a query attribute (i.e., an attribute of interest).

Abstract: A method and system for predisposition modification are presented in which a set of attributes for selective modification of the attribute profile of an individual are determined to enable the individual to modify their predisposition for acquiring an attribute of interest. The attribute of interest can be input in the form of a query attribute along with a minimum strength of association value which serves as a threshold to ensure that the results will provide at least a minimum degree of statistical certainty that the individual will acquire the attribute of interest upon modifying their attribute profile.

Abstract: A method and system for compiling attribute combinations are presented in which expanded attribute profiles associated with a group of query-attribute-positive individuals and expanded attribute profiles associated with a group of query-attribute-negative individuals are accessed, and combinations of attributes having a higher frequency of occurrence in the set of expanded attribute profiles associated with the group of query-attribute-positive individuals are identified. The identified attribute combinations and corresponding statistical results can then be stored to create a compilation of attribute combinations that co-occur with the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest).

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared, attribute partners can be identified, groups of individuals can be formed, associations between individuals can be determined, and attribute based information can be analyzed and referenced. Attributes, both genetic and non-genetic, can be analyzed and utilized not only for the basis of comparisons between individuals, but also to form groups based on overlapping genetic and non-genetic attributes.

Abstract: A method and system are presented in which predisposition predictions are generated for an individual with respect to an attribute indicated in a query. The predictions are based on the identification of predisposing attribute combinations within the attribute profile of the individual and statistical results that indicate the strength of association of the identified attribute combinations with the query attribute.

Abstract: A method and system for genetic attribute analysis are presented in which non-identical sets of genetic attributes comprising nucleotide sequence are compared to determine whether proteins encoded by those nucleotide sequences are functionally equivalent, and therefore whether genetic information contained in the sets of genetic attributes can be considered to be the same. A determination of equivalence between two sets of genetic attributes can enable the compression of thousands of individual DNA nucleotide attributes into a single categorical genetic attribute, which is useful for methods such as attribute discovery, predisposition prediction and predisposition modification where a reduction in the amount of genomic data can enhance processing efficiency. Sets of genetic attributes are determined to be equivalent based on whether they are able to satisfy one or more equivalence rules.

Abstract: A method and system are presented in which statistical predictions are generated to indicate whether an individual has or will acquire an attribute designated in a query. The predictions are generated based on a first set of attributes associated with the individual and a second set of attribute combinations and statistical results that indicate the strength of association of each attribute combination with the query attribute.

Abstract: A method and system for computer based predisposition modification are presented in which the attribute profile of an individual is compared against attribute combinations that are statistically associated with a query attribute. Those attribute combinations which contain attributes that are also present in the individual's attribute profile are tabulated along with their strengths of association for the query attribute, to indicate attribute changes to the attribute profile that can modify the individual's statistical predisposition for association with the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest).