Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Methods and systems for decreasing amplification bias and primer-dimer formation in amplification reactions and for amplifying a plurality of target polynucleotides from a sample in a single reaction and for sequencing the target polynucleotides where samples can include forensic samples and where target polynucleotides can include identity- or ancestry-informative markers, short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs). Methods of determining a nucleotide spacer sequence for disrupting primer dimer formation can include: receiving a set of primer sequences; determining a plurality of candidate spacers between an adapter sequence and a gene-specific portion of the primer sequence, the determined plurality of candidate spacers comprises sequences that disrupt stable interactions between sequences of the set of primer sequences; ranking candidate spacers that meet a predetermined threshold value of stable interactions in the extension sequences; and outputting a set of the ranked spacers that meet the predetermined threshold.

Methods and systems for decreasing amplification bias and primer-dimer formation in amplification reactions and for amplifying a plurality of target polynucleotides from a sample in a single reaction and for sequencing the target polynucleotides where samples can include forensic samples and where target polynucleotides can include identity- or ancestry-informative markers, short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs). Methods of determining a nucleotide spacer sequence for disrupting primer dimer formation can include: receiving a set of primer sequences; determining a plurality of candidate spacers between an adapter sequence and a gene-specific portion of the primer sequence, the determined plurality of candidate spacers comprises sequences that disrupt stable interactions between sequences of the set of primer sequences; ranking candidate spacers that meet a predetermined threshold value of stable interactions in the extension sequences; and outputting a set of the ranked spacers that meet the predetermined threshold.

The present invention belongs to the field of diagnosis of disease. Thus the present invention is focused on a method and kit and system for quantifying the level of minimal residual disease (MRD) in a subject who has been treated for said disease, as well as a method of treatment of said disease in a subject which comprises a step of quantifying the level of minimal residual diseases, wherein said quantifying comprises: (a) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from said subject after treatment for said disease, wherein the gDNA of said biological sample has an average weight, k, per cell, and wherein said nucleotide sequence is identified using primers and is amplified using an amount, D, to afford a first list of characters; (b) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from a subject with said disease using the same primers as in step (a) to afford a second list of characters; (c) determining, for each first list of characters obtained in step (a), the degree of similarity, DS, with each second list of characters obtained in step (b); (d) selecting, for each first list of characters obtained in step (a), the DS of highest value, DS.sub.HV; (e) adding up the number of first lists of characters obtained in step (a) which have a DS.sub.HV that is greater than a threshold value, T, to obtain L.sub.c; (f) adding up the total number of lists of characters, L.sub.t, in the first list of characters; and (g) calculating the level of minimal residual disease (MRD) according to either of the following formulae:
MRD=(L.sub.c×k)/(L.sub.t×D)
or
MRD=L.sub.c/L.sub.t
or
MRD=L.sub.c×(D/k)/L.sub.t.sup.2.

The present invention belongs to the field of diagnosis of disease. Thus the present invention is focused on a method and kit and system for quantifying the level of minimal residual disease (MRD) in a subject who has been treated for said disease, as well as a method of treatment of said disease in a subject which comprises a step of quantifying the level of minimal residual diseases, wherein said quantifying comprises: (a) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from said subject after treatment for said disease, wherein the gDNA of said biological sample has an average weight, k, per cell, and wherein said nucleotide sequence is identified using primers and is amplified using an amount, D, to afford a first list of characters; (b) identifying, amplifying and sequencing a nucleotide sequence in a biological sample obtained from a subject with said disease using the same primers as in step (a) to afford a second list of characters; (c) determining, for each first list of characters obtained in step (a), the degree of similarity, DS, with each second list of characters obtained in step (b); (d) selecting, for each first list of characters obtained in step (a), the DS of highest value, DS.sub.HV; (e) adding up the number of first lists of characters obtained in step (a) which have a DS.sub.HV that is greater than a threshold value, T, to obtain L.sub.c; (f) adding up the total number of lists of characters, L.sub.t, in the first list of characters; and (g) calculating the level of minimal residual disease (MRD) according to either of the following formulae:
MRD=(L.sub.c×k)/(L.sub.t×D)
or
MRD=L.sub.c/L.sub.t
or
MRD=L.sub.c×(D/k)/L.sub.t.sup.2.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

In one embodiment, provided are a method for analyzing at least one nucleic acid that can conveniently and highly accurately analyze even a very small number of analyte at least one nucleic acid. In one embodiment, the present invention relates to a method for analyzing at least one nucleic acid, comprising: a library preparation step of preparing a library comprising at least one standard nucleic acid of specific copy number(s) and at least one analyte nucleic acid in a same system; a calibration curve data generation step of generating calibration curve data based on the copy number(s) of the at least one standard nucleic acid of specific copy number(s); and an analyte nucleic acid analysis step of identifying at least one nucleotide sequence of the analyte nucleic acid while identifying the number(s) of the at least one nucleotide sequence of the at least one analyte nucleic acid using the calibration curve data.

In one embodiment, provided are a method for analyzing at least one nucleic acid that can conveniently and highly accurately analyze even a very small number of analyte at least one nucleic acid. In one embodiment, the present invention relates to a method for analyzing at least one nucleic acid, comprising: a library preparation step of preparing a library comprising at least one standard nucleic acid of specific copy number(s) and at least one analyte nucleic acid in a same system; a calibration curve data generation step of generating calibration curve data based on the copy number(s) of the at least one standard nucleic acid of specific copy number(s); and an analyte nucleic acid analysis step of identifying at least one nucleotide sequence of the analyte nucleic acid while identifying the number(s) of the at least one nucleotide sequence of the at least one analyte nucleic acid using the calibration curve data.

The present invention provides a computer-implemented method for detecting variant nucleic acid from a cell-free nucleic acid-containing sample. The method comprises (a) providing data representing fragment sizes of nucleic acid fragments obtained from said sample and/or representing a measure of deviation from copy number neutrality of the nucleic acid fragments obtained from said sample; b) processing the data from step a) according to a classification algorithm, wherein said classification algorithm operates to classify sample data into one of at least a first class containing the variant nucleic acid and a second class not containing the variant nucleic acid, based on a plurality of cell-free nucleic acid fragment size features and/or a deviation from copy number neutrality feature; and c) outputting the classification of the sample from step b, thereby determining whether the sample contains the variant nucleic acid or not, or a probability that the sample contains the variant nucleic acid. Related methods are also provided.