Abstract: In one illustrative embodiment, an allelotyping method may include selecting a plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing (MPS) instrument, where the nucleotide sequences represented by the selected plurality of text strings each correspond to a particular locus, comparing the selected plurality of text strings to one another to determine an abundance count for each unique text string included in the selected plurality of text strings, and determining one or more alleles for the particular locus by comparing the abundance count for each unique text string included in the selected plurality of text strings to an abundance threshold.

Abstract: In at least one illustrative embodiment, a method may comprise selecting a first plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing instrument, where the nucleotide sequences represented by the selected first plurality of text strings each correspond to a first target locus, comparing the selected first plurality of text strings to one another to determine an abundance count for each unique text string included in the selected first plurality of text strings, identifying a first number of unique text strings included in the selected first plurality of text strings as representing noise responses, and determining a method detection limit as a function of the abundance counts for the first number of unique text strings identified as representing noise responses.

Abstract: In one illustrative embodiment, an allelotyping method may include selecting a plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing (MPS) instrument, where the nucleotide sequences represented by the selected plurality of text strings each correspond to a particular locus, comparing the selected plurality of text strings to one another to determine an abundance count for each unique text string included in the selected plurality of text strings, and determining one or more alleles for the particular locus by comparing the abundance count for each unique text string included in the selected plurality of text strings to an abundance threshold.

Abstract: A computer-implemented method of performing forensic analysis of DNA sequences includes computing a digest of a raw DNA sequence, where the digest is a numerical value which can be in a base-16 numeral system. The digest numerical value is converted into a converted numerical value which can be a base-26 numeral system, selected to produce a label consisting of letters that can be allocated incrementally to produce labels with the minimum number of letters necessary to avoid duplicate labels for different DNA sequences within a given domain of sequences. Distinct compact labels for distinct DNA sequences are useful in computer interfaces, verbal communications, comparing DNA sequences of different individuals, expressing relationships between sequences, and other situations where compactness is desirable.

Abstract: Short Tandem Repeats are currently used by law enforcement and others, for example, for the identification of individuals by DNA matching. A method is described herein that uses WPD to classify and identify repeating sequences in nucleotide sequences from the position and frequency information contained within nucleotide sequences. This decomposition allows for the quick classification of nucleotide sequences (i.e., reads) into two different classes, including, for example, one class that contains sequencer reads that contain a repeat motif with non-repeat sequence on either flank, and another class that contains sequencer reads that do not contain any repeat sequence.

Abstract: In one illustrative embodiment, an allelotyping method may comprise using a massively parallel sequencing (MPS) instrument to read nucleotide sequences in a sample and to generate nucleotide sequence data quantifying each read of a nucleotide sequence in the sample, determining, for each read by the MPS instrument, whether a portion of the generated nucleotide sequence data represents a short tandem repeat (STR) associated with a corresponding locus, adding each portion of the nucleotide sequence data determined to represent an STR to a locus-specific list for the corresponding locus, determining, for each locus-specific list, a number of occurrences within that locus-specific list of identical nucleotide sequence data representing a unique STR, and identifying each unique STR for which the number of occurrences of identical nucleotide sequence data within the locus-specific list exceeds an abundance threshold as an allele of the corresponding locus for the sample.

Abstract: Short Tandem Repeats are currently used by law enforcement and others, for example, for the identification of individuals by DNA matching. A method is described herein that uses WPD to classify and identify repeating sequences in nucleotide sequences from the position and frequency information contained within nucleotide sequences. This decomposition allows for the quick classification of nucleotide sequences (i.e., reads) into two different classes, including, for example, one class that contains sequencer reads that contain a repeat motif with non-repeat sequence on either flank, and another class that contains sequencer reads that do not contain any repeat sequence.

Abstract: Short Tandem Repeats are currently used by law enforcement and others, for example, for the identification of individuals by DNA matching. A method is described herein that uses WPD to classify and identify repeating sequences in nucleotide sequences from the position and frequency information contained within nucleotide sequences. This decomposition allows for the quick classification of nucleotide sequences (i.e., reads) into two different classes, including, for example, one class that contains sequencer reads that contain a repeat motif with non-repeat sequence on either flank, and another class that contains sequencer reads that do not contain any repeat sequence.

Abstract: Short Tandem Repeats are currently used by law enforcement and others, for example, for the identification of individuals by DNA matching. A method is described herein that uses WPD to classify and identify repeating sequences in nucleotide sequences from the position and frequency information contained within nucleotide sequences. This decomposition allows for the quick classification of nucleotide sequences (i.e., reads) into two different classes, including, for example, one class that contains sequencer reads that contain a repeat motif with non-repeat sequence on either flank, and another class that contains sequencer reads that do not contain any repeat sequence.

Abstract: In one illustrative embodiment, an allelotyping method may include selecting a plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing (MPS) instrument, where the nucleotide sequences represented by the selected plurality of text strings each correspond to a particular locus, comparing the selected plurality of text strings to one another to determine an abundance count for each unique text string included in the selected plurality of text strings, and determining one or more alleles for the particular locus by comparing the abundance count for each unique text string included in the selected plurality of text strings to an abundance threshold.

Abstract: In at least one illustrative embodiment, a method may comprise selecting a first plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing instrument, where the nucleotide sequences represented by the selected first plurality of text strings each correspond to a first target locus, comparing the selected first plurality of text strings to one another to determine an abundance count for each unique text string included in the selected first plurality of text strings, identifying a first number of unique text strings included in the selected first plurality of text strings as representing noise responses, and determining a method detection limit as a function of the abundance counts for the first number of unique text strings identified as representing noise responses.

Abstract: In one illustrative embodiment, a method may comprise receiving a first text-based computer file including one or more records, each of the one or more records comprising nucleotide sequence data generated by a read of a massively parallel sequencing (MPS) instrument, determining whether a portion of the nucleotide sequence data of each record represents a short tandem repeat (STR) associated with a locus, placing each portion of the nucleotide sequence data determined to represent an STR associated with a locus into one of a number of locus-specific lists, determining a number of occurrences within each locus-specific list of identical nucleotide sequence data representing a unique STR, and generating a second text-based computer file including one or more records, each of the one or more records corresponding to a unique STR for which the number of occurrences of identical nucleotide sequence data representing the unique STR exceeded an abundance threshold.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.

Abstract: A system and method are provided for drawing graphics, such as to display a user interface on a display of a mobile device. A graphics stack is used to store pre-computed coordinate values to improve performance for drawing graphics, such as to display a user interface on a display of a mobile device.