Abstract: Methods for index hopping sequence read filtering are provided. Each read in a plurality of reads from a multiplexed reaction comprises an insert portion, and first (molecular identifier) and second (sample index) non-insert portions. For each of a plurality of hashes, a hash data structure is formed with a representation of each read. Each representation comprises a hash of the first non-insert portion of the corresponding read. Read pairs are identified in the hash data structures. Each pair includes a first and second read sharing a common hash value but differing index values. An entry is added into a heterogeneous data structure, for each such pair, that includes the first and second non-insert portions of the first and second reads of the pair. Reads with first non-insert portion values appearing more than a threshold number of times in the heterogeneous data structure are removed from the plurality of reads.

Abstract: Methods for index hopping sequence read filtering are provided. Each read in a plurality of reads from a multiplexed reaction comprises an insert portion, and first (molecular identifier) and second (sample index) non-insert portions. For each of a plurality of hashes, a hash data structure is formed with a representation of each read. Each representation comprises a hash of the first non-insert portion of the corresponding read. Read pairs are identified in the hash data structures. Each pair includes a first and second read sharing a common hash value but differing index values. An entry is added into a heterogeneous data structure, for each such pair, that includes the first and second non-insert portions of the first and second reads of the pair. Reads with first non-insert portion values appearing more than a threshold number of times in the heterogeneous data structure are removed from the plurality of reads.

Abstract: Methods and systems are provided for improved detection of a relatively large predefined deletion using short read exome sequencing. Short read exome sequences of continuous exomes segments of a genome may be obtained each having a length of base pairs that is less than or equal to a threshold value. A target sequence of a reference genome may be stored that has a predefined deletion of a reference sequence having a length of base pairs that is relatively larger than the threshold value, such that a segment positioned after the deletion is shifted to abut a segment positioned prior to the deletion. Instances of short read exome sequences may be detected that straddle both the segment positioned after the deletion and the segment positioned prior to the deletion, wherein both segments falling within the relatively shorter length of the short read exome sequences indicates that the deletion has occurred.

Abstract: A system, device and method for receiving multiple aligned genetic sequences obtained from genetic samples of multiple organisms of one or more different species. A measure of evolutionary variation may be computed for one or more alleles at each of one or more aligned genetic loci. The aligned genetic loci in the multiple organisms may be derived from one or more common ancestral genetic loci or may be otherwise related. The measure of evolutionary variation may be a function of variation in alleles at corresponding aligned genetic loci in the multiple aligned genetic sequences. One or more likelihoods may be computed that an allele mutation at each of the one or more genetic loci in a simulated virtual progeny will be deleterious based on the measure of evolutionary variation of alleles at the corresponding aligned genetic loci for the multiple organisms.

Abstract: A method may include generating multiple virtual progenies from multiple first virtual gametes and multiple second virtual gametes. Each virtual progeny may combine one of the first virtual gametes and one of the second virtual gametes. A computing server may input, for each virtual progeny, data associated with the first virtual gamete of the virtual progeny to a machine learning model to determine a first variant-specific gene dysfunction score corresponding to a target allele site. The computing server may also input, for each virtual progeny, data associated with the second virtual gamete of the virtual progeny to the machine learning model to determine a second variant-specific gene dysfunction score corresponding to the target allele site. The computing server may derive, for each virtual progeny, a dysfunction likelihood score of the target allele site from the first variant-specific gene dysfunction score and the second variant-specific gene dysfunction score.

Abstract: A device, system and method for predicting gene-dysfunction caused by a genetic mutation in the genome of an organism. A neural network may comprise multiple nodes respectively associated with multiple different gene-dysfunction metrics and multiple different confidence weights. The neural network may combine the multiple gene-dysfunction metrics according to the respective associated confidence weights to generate one or more likelihoods that a genetic mutation causes gene-dysfunction in organisms. In a training-phase, the neural network may be trained using an input data set including genetic mutations to generate new gene-dysfunction metrics and new associated confidence weights that optimize the neural network based on a cost factor.

Abstract: A system, device and method for receiving multiple aligned genetic sequences obtained from genetic samples of multiple organisms of one or more different species. A measure of evolutionary variation may be computed for one or more alleles at each of one or more aligned genetic loci. The aligned genetic loci in the multiple organisms may be derived from one or more common ancestral genetic loci or may be otherwise related. The measure of evolutionary variation may be a function of variation in alleles at corresponding aligned genetic loci in the multiple aligned genetic sequences. One or more likelihoods may be computed that an allele mutation at each of the one or more genetic loci in a simulated virtual progeny will be deleterious based on the measure of evolutionary variation of alleles at the corresponding aligned genetic loci for the multiple organisms.

Abstract: A system, device and method for receiving multiple aligned genetic sequences obtained from genetic samples of multiple organisms of one or more different species. A measure of evolutionary variation may be computed for one or more alleles at each of one or more aligned genetic loci. The aligned genetic loci in the multiple organisms may be derived from one or more common ancestral genetic loci or may be otherwise related. The measure of evolutionary variation may be a function of variation in alleles at corresponding aligned genetic loci in the multiple aligned genetic sequences. One or more likelihoods may be computed that an allele mutation at each of the one or more genetic loci in a simulated virtual progeny will be deleterious based on the measure of evolutionary variation of alleles at the corresponding aligned genetic loci for the multiple organisms.