Abstract: The technology disclosed directly operates on sequencing data and derives its own feature filters. It processes a plurality of aligned reads that span a target base position. It combines elegant encoding of the reads with a lightweight analysis to produce good recall and precision using lightweight hardware. For instance, one million training examples of target base variant sites with 50 to 100 reads each can be trained on a single GPU card in less than 10 hours with good recall and precision. A single GPU card is desirable because it a computer with a single GPU is inexpensive, almost universally within reach for users looking at genetic data. It is readily available on could-based platforms.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The technology disclosed directly operates on sequencing data and derives its own feature filters. It processes a plurality of aligned reads that span a target base position. It combines elegant encoding of the reads with a lightweight analysis to produce good recall and precision using lightweight hardware. For instance, one million training examples of target base variant sites with 50 to 100 reads each can be trained on a single GPU card in less than 10 hours with good recall and precision. A single GPU card is desirable because it a computer with a single GPU is inexpensive, almost universally within reach for users looking at genetic data. It is readily available on could-based platforms.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The technology disclosed directly operates on sequencing data and derives its own feature filters. It processes a plurality of aligned reads that span a target base position. It combines elegant encoding of the reads with a lightweight analysis to produce good recall and precision using lightweight hardware. For instance, one million training examples of target base variant sites with 50 to 100 reads each can be trained on a single GPU card in less than 10 hours with good recall and precision. A single GPU card is desirable because it a computer with a single GPU is inexpensive, almost universally within reach for users looking at genetic data. It is readily available on could-based platforms.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The present disclosure provides computer implemented methods and systems for analyzing datasets, such as large data sets output from nucleic acid sequencing technologies. In particular, the present disclosure provides for data analysis comprising computing the BWT of a collection of strings in an incremental, character by character, manner. The present disclosure also provides compression boosting strategies resulting in a BWT of a reordered collection of data that is more compressible by second stage compression methods compared to non-reordered computational analysis.

Abstract: The present disclosure provides computer implemented methods and systems for analysing datasets, such as large data sets output from nucleic acid sequencing technologies. In particular, the present disclosure provides for data analysis comprising computing the BWT of a collection of strings in an incremental, character by character, manner. The present disclosure also provides compression boosting strategies resulting in a BWT of a reordered collection of data that is more compressible by second stage compression methods compared to non-reordered computational analysis.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The present disclosure provides computer implemented methods and systems for analyzing datasets, such as large data sets output from nucleic acid sequencing technologies. In particular, the present disclosure provides for data analysis comprising computing the BWT of a collection of strings in an incremental, character by character, manner. The present disclosure also provides compression boosting strategies resulting in a BWT of a reordered collection of data that is more compressible by second stage compression methods compared to non-reordered computational analysis.

Abstract: The present disclosure provides computer implemented methods and systems for analyzing datasets, such as large data sets output from nucleic acid sequenceing technologies. In particular, the present disclosure provides for data analysis comprising computing the BWT of a collection of strings in an incremental, character by character, manner. The present disclosure also provides compression boosting strategies resulting in a BWT of a reordered collection of data that is more compressible by second stage compression methods compared to non-reordered computational analysis.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The invention relates to a method of amplifying one or more nucleic acid templates on a solid support in a nucleic acid amplification reaction, for example by solid-phase PCR using one or more amplification primers attached to the solid support. The method is characterised in that the amplification primers used comprise a template-specific portion which is a sequence of at least 26 consecutive nucleotides and are not capable of annealing to target regions in the template under conditions of the amplification reaction. The method is particularly useful for amplifying human genomic DNA.