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1. WO2020109773 - ANALYSIS OF NANOPORE SIGNAL USING A MACHINE-LEARNING TECHNIQUE

Publication Number WO/2020/109773
Publication Date 04.06.2020
International Application No. PCT/GB2019/053334
International Filing Date 26.11.2019
IPC
C12Q 1/6869 2018.01
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
6869Methods for sequencing
G01N 33/487 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48Biological material, e.g. blood, urine; Haemocytometers
483Physical analysis of biological material
487of liquid biological material
CPC
C12Q 1/6869
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms
68involving nucleic acids
6869Methods for sequencing
G01N 33/48721
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
48Biological material, e.g. blood, urine
483Physical analysis of biological material
487of liquid biological material
48707by electrical means
48721Investigating individual macromolecules, e.g. by translocation through nanopores
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06N 20/20
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
20Ensemble learning
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
084Back-propagation
Applicants
  • OXFORD NANOPORE TECHNOLOGIES LIMITED [GB]/[GB]
Inventors
  • MASSINGHAM, Timothy Lee
Agents
  • J A KEMP LLP
Priority Data
1819378.928.11.2018GB
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) ANALYSIS OF NANOPORE SIGNAL USING A MACHINE-LEARNING TECHNIQUE
(FR) ANALYSE DE SIGNAL DE NANOPORE À L'AIDE D'UNE TECHNIQUE D'APPRENTISSAGE AUTOMATIQUE
Abstract
(EN)
A signal derived from a polymer comprising a series of polymer units during translocation of the polymer with respect to a nanopore is analysed using a machine learning technique. A series of weight distributions is output, each comprising weights in respect of transitions between labels over a set of labels representing the possible types of polymer unit in the polymer. An estimate of the series of polymer units from the weight distributions. Use of weights in respect of the transitions increases the accuracy of the technique.
(FR)
L’invention concerne l’analyse d’un signal issu d'un polymère, comprenant une série d'unités polymères pendant la translocation du polymère par rapport à un nanopore, à l'aide d'une technique d'apprentissage automatique. De plus l’invention fournit une série de distributions de poids, chacune comprenant des poids par rapport à des transitions entre des étiquettes sur un ensemble d'étiquettes représentant les types possibles d'unité polymère dans le polymère. L'invention porte en outre sur une estimation de la série d'unités de polymère à partir des distributions de poids. L'invention concerne également l'utilisation de poids par rapport aux transition, ce qui augmente la précision de la technique.
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