Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Methods are provided that operate on raw dissociation data and dissociation curves to generate calibrations of the detected data and to further improve analysis of the data. The data can be taken from each support region of a multi-region platform, for example, from each well of a multi-well plate. Each support region can be loaded with portions of the same sample. In some embodiments, a dissociation curve correction can be calibrated for the sample, prior to a run of an experiment using such sample. In some embodiments, a method is provided for generating a melting transition region of dissociation curves that show the melting characteristics of the sample. In some embodiments, dye temperature dependence correction can be performed on the dissociation curve data to further improve analysis. In some embodiments, a feature vector can be derived from the melt data, and the feature vector can be used to further improve genotyping analysis of the dissociation curves.

Provided is a method for treatment of pathologies caused by cells that have DNA sequences that differ from DNA of healthy human cells. The method utilises targeting of the sequence differences and effects cleavage of the DNA which does not occur in the healthy genome, whereby the cells containing the targeted DNA are killed or inactivated. Preferred systems for effecting such DNA damage is CRISPR systems where a CAS cleaves DNA adjacent to a sequence recognized by the CRISPR. Also disclosed are methods and a computer system for designing and/or producing the targeting nucleic acids.

Provided is a method for treatment of pathologies caused by cells that have DNA sequences that differ from DNA of healthy human cells. The method utilises targeting of the sequence differences and effects cleavage of the DNA which does not occur in the healthy genome, whereby the cells containing the targeted DNA are killed or inactivated. Preferred systems for effecting such DNA damage is CRISPR systems where a CAS cleaves DNA adjacent to a sequence recognized by the CRISPR. Also disclosed are methods and a computer system for designing and/or producing the targeting nucleic acids.

The present disclosure is related to methods and materials for depleting unwanted RNA species from a nucleic acid sample. In particular, the present disclosure describes how to remove unwanted rRNA, tRNA, mRNA or other RNA species that could interfere with the analysis, manipulation and study of target RNA molecules in a sample.

The present disclosure is related to methods and materials for depleting unwanted RNA species from a nucleic acid sample. In particular, the present disclosure describes how to remove unwanted rRNA, tRNA, mRNA or other RNA species that could interfere with the analysis, manipulation and study of target RNA molecules in a sample.

The present invention provides methods for isolation of a member of a population which has one or more mutation(s) in one or more target sequence(s) in a population. The method may comprise the steps of: (a) pooling genomic DNA isolated from each member of the population in one or more dimensions; (b) amplifying the one or more target sequence(s) in the pooled genomic DNA, wherein optionally the amplification products are pooled; (c) sequencing the amplified products or obtaining the sequence reads for the amplified products, wherein, optionally, sequencing is by pair-end sequencing and further comprises merging the paired-end reads into composite read(s); (d) identifying the mutation(s) based on alignment-free sequence analysis of sequencing data, optionally by k-mer analysis and (e) identifying individual member(s) of the population comprising the one or more identified mutations in the target sequences, optionally by high-resolution DNA melting (HRM).

The present invention provides methods for isolation of a member of a population which has one or more mutation(s) in one or more target sequence(s) in a population. The method may comprise the steps of: (a) pooling genomic DNA isolated from each member of the population in one or more dimensions; (b) amplifying the one or more target sequence(s) in the pooled genomic DNA, wherein optionally the amplification products are pooled; (c) sequencing the amplified products or obtaining the sequence reads for the amplified products, wherein, optionally, sequencing is by pair-end sequencing and further comprises merging the paired-end reads into composite read(s); (d) identifying the mutation(s) based on alignment-free sequence analysis of sequencing data, optionally by k-mer analysis and (e) identifying individual member(s) of the population comprising the one or more identified mutations in the target sequences, optionally by high-resolution DNA melting (HRM).

Methods for detecting genomic rearrangements are provided. In one embodiment, methods are provided for the use of paired end tags from restriction fragments to detect genomic rearrangements. Sequences from the ends of the fragments are brought together to form ditags and the ditags are detected. Combinations of ditags are detected by an on-chip sequencing strategy that is described herein, using inosine for de novo sequencing of short segments of DNA. In another aspect, translocations are identified by using target specific capture and analysis of the captured products on a tiling array.

Methods for detecting genomic rearrangements are provided. In one embodiment, methods are provided for the use of paired end tags from restriction fragments to detect genomic rearrangements. Sequences from the ends of the fragments are brought together to form ditags and the ditags are detected. Combinations of ditags are detected by an on-chip sequencing strategy that is described herein, using inosine for de novo sequencing of short segments of DNA. In another aspect, translocations are identified by using target specific capture and analysis of the captured products on a tiling array.