Abstract: Systems and methods are disclosed for compressing and comparing data such as genomic data. The disclosed systems and methods may include selecting a segment, creating a delta representation of the segment, the delta representation comprising a script, and storing the script. Furthermore, the disclosed systems and methods may include receiving a first script comprising a compressed version of a first segment and receiving a second script comprising a compressed version of a second segment. The disclosed systems and methods may further include comparing the first script to the second script and determining if the first segment matches the second segment based upon the comparison of the first script to the second script.

Abstract: Systems and methods are disclosed for compressing and comparing data such as genomic data. The disclosed systems and methods may include selecting a segment, creating a delta representation of the segment, the delta representation comprising a script, and storing the script. Furthermore, the disclosed systems and methods may include receiving a first script comprising a compressed version of a first segment and receiving a second script comprising a compressed version of a second segment. The disclosed systems and methods may further include comparing the first script to the second script and determining if the first segment matches the second segment based upon the comparison of the first script to the second script.

Abstract: Disclosed are methods of identifying elements associated with a trait, such as a disease. The methods can comprise, for example, identifying the association of a relevant element (such as a genetic variant) with a relevant component phenotype (such as a disease symptom) of the trait, wherein the association of the relevant element with the relevant component phenotype identifies the relevant element as an element associated with the trait, wherein the relevant component phenotype is a component phenotype having a threshold value of severity, age of onset, specificity to the trait or disease, or a combination, wherein the relevant element is an element having a threshold value of importance of the element to homeostasis relevant to the trait, intensity of the perturbation of the element, duration of the effect of the element, or a combination. The disclosed methods are based on a model of how elements affect complex diseases.

Abstract: Systems and methods are disclosed for compressing and comparing data such as genomic data. The disclosed systems and methods may include selecting a segment, creating a delta representation of the segment, the delta representation comprising a script, and storing the script. Furthermore, the disclosed systems and methods may include receiving a first script comprising a compressed version of a first segment and receiving a second script comprising a compressed version of a second segment. The disclosed systems and methods may further include comparing the first script to the second script and determining if the first segment matches the second segment based upon the comparison of the first script to the second script.

Abstract: Disclosed are methods of identifying elements associated with a trait, such as a disease. The methods can comprise, for example, identifying the association of a relevant element (such as a genetic variant) with a relevant component phenotype (such as a disease symptom) of the trait, wherein the association of the relevant element with the relevant component phenotype identifies the relevant element as an element associated with the trait, wherein the relevant component phenotype is a component phenotype having a threshold value of severity, age of onset, specificity to the trait or disease, or a combination, wherein the relevant element is an element having a threshold value of importance of the element to homeostasis relevant to the trait, intensity of the perturbation of the element, duration of the effect of the element, or a combination. The disclosed methods are based on a model of how elements affect complex diseases.