Systems and methods of storing and retrieving K-mer data in a data structure are provided. In certain embodiments, the K-mer data is stored as an integer value that defines an address of a slot in the data structure. In many embodiments, each slot in the data structure stores the remaining portion of the K-mer that is not part of the prefix. Additional embodiments are directed to genetic or genomic analysis using a data structure for storing K-mer data.

Systems and methods of storing and retrieving K-mer data in a data structure are provided. In certain embodiments, the K-mer data is stored as an integer value that defines an address of a slot in the data structure. In many embodiments, each slot in the data structure stores the remaining portion of the K-mer that is not part of the prefix. Additional embodiments are directed to genetic or genomic analysis using a data structure for storing K-mer data.

In one embodiment, a method includes accessing a sample of genetic material associated with a first animal, wherein the sample of genetic material comprises raw genotypes, generating phased haplotypes based on the raw genotypes, generating local assignments for genetic populations for the phased haplotypes by machine learning algorithms based on comparisons between the phased haplotypes and a reference panel comprising reference haplotypes associated with reference populations, and sending instructions to a user device for presenting an output associated with the first animal to a user, wherein the output is generated based on the local assignments for the genetic populations.

In one embodiment, a method includes accessing a sample of genetic material associated with a first animal, wherein the sample of genetic material comprises raw genotypes, generating phased haplotypes based on the raw genotypes, generating local assignments for genetic populations for the phased haplotypes by machine learning algorithms based on comparisons between the phased haplotypes and a reference panel comprising reference haplotypes associated with reference populations, and sending instructions to a user device for presenting an output associated with the first animal to a user, wherein the output is generated based on the local assignments for the genetic populations.

We disclose a system. The system comprises a memory and a runtime logic. The memory stores a plurality of specialist signal profilers. Each specialist signal profiler in the plurality of specialist signal profilers is trained to maximize signal-to-noise ratio of sequenced signals in a particular signal profile detected for analytes in a particular analyte class and characterized in a particular training data set. The runtime logic, having access to the memory, is configured to execute a base calling operation by applying respective specialist signal profilers in the plurality of specialist signal profilers to sequenced signals in respective signal profiles detected for analytes in respective analyte classes during the base calling operation.

We disclose a system. The system comprises a memory and a runtime logic. The memory stores a plurality of specialist signal profilers. Each specialist signal profiler in the plurality of specialist signal profilers is trained to maximize signal-to-noise ratio of sequenced signals in a particular signal profile detected for analytes in a particular analyte class and characterized in a particular training data set. The runtime logic, having access to the memory, is configured to execute a base calling operation by applying respective specialist signal profilers in the plurality of specialist signal profilers to sequenced signals in respective signal profiles detected for analytes in respective analyte classes during the base calling operation.

The technology disclosed generates a reference array of variant data for locations that are shared between read results which are to be compared, and generates hashes over a selected pattern length of positions in the reference array to independently produce non-unique window hashes for base patterns in the read results. It then selects for comparison window hashes that occur less than a ceiling number of times and compares the selected window hashes to identify common window hashes between the read results. It then determines a similarity measure for the read results based on the common window hashes.

The technology disclosed generates a reference array of variant data for locations that are shared between read results which are to be compared, and generates hashes over a selected pattern length of positions in the reference array to independently produce non-unique window hashes for base patterns in the read results. It then selects for comparison window hashes that occur less than a ceiling number of times and compares the selected window hashes to identify common window hashes between the read results. It then determines a similarity measure for the read results based on the common window hashes.

The present invention provides a novel approach to matching personality traits, as determined through observational or self-assessment reporting in combination with specific loci and identifiable variations within an individual's nucleotide sequence in the form of SNPs. The present invention further utilizes an individual's cyber footprint, in combination with SNPs and traditional assessment and self-assessment techniques, to define a testing and reinforcement mechanism for strengthening the interdependence and accuracy of each type of reporting in order to bolster the reliability of each alone and in combination.

The present invention provides a novel approach to matching personality traits, as determined through observational or self-assessment reporting in combination with specific loci and identifiable variations within an individual's nucleotide sequence in the form of SNPs. The present invention further utilizes an individual's cyber footprint, in combination with SNPs and traditional assessment and self-assessment techniques, to define a testing and reinforcement mechanism for strengthening the interdependence and accuracy of each type of reporting in order to bolster the reliability of each alone and in combination.