MX2022010273A - Compresion de datos para llamadas de base basadas en inteligencia artificial. - Google Patents

Compresion de datos para llamadas de base basadas en inteligencia artificial.

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Publication number
MX2022010273A
MX2022010273A MX2022010273A MX2022010273A MX2022010273A MX 2022010273 A MX2022010273 A MX 2022010273A MX 2022010273 A MX2022010273 A MX 2022010273A MX 2022010273 A MX2022010273 A MX 2022010273A MX 2022010273 A MX2022010273 A MX 2022010273A
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MX
Mexico
Prior art keywords
sequencing cycles
window
output sets
spatial output
artificial intelligence
Prior art date
Application number
MX2022010273A
Other languages
English (en)
Inventor
Kishore Jaganathan
Dorna Kashefhaghighi
Amirali Kia
Anindita Dutta
Gery Vessere
Gavin Derek Parnaby
Original Assignee
Illumina Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Illumina Inc filed Critical Illumina Inc
Publication of MX2022010273A publication Critical patent/MX2022010273A/es

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/20Sequence assembly
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING 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
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6869Methods for sequencing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/10Signal processing, e.g. from mass spectrometry [MS] or from PCR

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biotechnology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Organic Chemistry (AREA)
  • Bioethics (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Wood Science & Technology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Zoology (AREA)
  • Neurology (AREA)
  • Signal Processing (AREA)
  • Immunology (AREA)

Abstract

La tecnología descrita se relaciona con un método basado en inteligencia artificial de llamada de bases. En particular, se relaciona con el procesamiento, a través de una red espacial de un llamador de bases basado en red neural, una primera ventana de conjuntos de canales de analito por ciclo en para una primera ventana de ciclos de secuenciación de una ejecución de secuenciación, y generar secuencias de conjuntos de salidas espaciales respectivas para los ciclos de secuenciación respectivos en la primera ventana de ciclos de secuenciación, procesar, a través de una red de compresión del llamador de bases basado en red neural, conjuntos de salidas espaciales finales respectivos en las secuencias respectivas de conjuntos de salidas espaciales, y generar conjuntos de salidas espaciales comprimidas respectivos para los ciclos de secuenciación respectivos en la primera ventana de ciclos de secuenciación, y generar, basado en los conjuntos de salidas espaciales comprimidas respectivos, predicciones de llamadas de bases para uno o más ciclos de secuenciación en la primera ventana de ciclos de secuenciación.
MX2022010273A 2020-02-20 2021-02-19 Compresion de datos para llamadas de base basadas en inteligencia artificial. MX2022010273A (es)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US202062979399P 2020-02-20 2020-02-20
US202062979411P 2020-02-20 2020-02-20
US17/179,395 US20210265016A1 (en) 2020-02-20 2021-02-18 Data Compression for Artificial Intelligence-Based Base Calling
US17/180,480 US20210264266A1 (en) 2020-02-20 2021-02-19 Split Architecture for Artificial Intelligence-Based Base Caller
US17/180,513 US20210264267A1 (en) 2020-02-20 2021-02-19 Bus Network for Artificial Intelligence-Based Base Caller
PCT/US2021/018913 WO2021168356A1 (en) 2020-02-20 2021-02-19 Data compression for artificial intelligence-based base calling

Publications (1)

Publication Number Publication Date
MX2022010273A true MX2022010273A (es) 2022-09-19

Family

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Family Applications (2)

Application Number Title Priority Date Filing Date
MX2022010272A MX2022010272A (es) 2020-02-20 2021-02-19 Arquitectura de division para llamador de base basado en inteligencia artificial.
MX2022010273A MX2022010273A (es) 2020-02-20 2021-02-19 Compresion de datos para llamadas de base basadas en inteligencia artificial.

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MX2022010272A MX2022010272A (es) 2020-02-20 2021-02-19 Arquitectura de division para llamador de base basado en inteligencia artificial.

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US (3) US20210265016A1 (es)
EP (3) EP4107740A1 (es)
JP (3) JP2023515500A (es)
KR (3) KR20220144373A (es)
CN (3) CN115398549A (es)
AU (3) AU2021224873A1 (es)
BR (2) BR112022016416A2 (es)
CA (1) CA3168731A1 (es)
IL (3) IL295587A (es)
MX (2) MX2022010272A (es)
WO (3) WO2021168356A1 (es)

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WO2023049212A2 (en) * 2021-09-22 2023-03-30 Illumina, Inc. State-based base calling
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Also Published As

Publication number Publication date
KR20220144375A (ko) 2022-10-26
JP2023515804A (ja) 2023-04-14
EP4107740A1 (en) 2022-12-28
EP4107739A1 (en) 2022-12-28
WO2021168356A1 (en) 2021-08-26
IL295587A (en) 2022-10-01
BR112022016495A2 (pt) 2022-10-11
BR112022016416A2 (pt) 2022-10-11
IL295584A (en) 2022-10-01
CN115398549A (zh) 2022-11-25
JP2023515092A (ja) 2023-04-12
EP4107738A1 (en) 2022-12-28
AU2021224872A1 (en) 2022-09-08
CN115280418A (zh) 2022-11-01
IL295585A (en) 2022-10-01
AU2021222050A1 (en) 2022-09-08
US20210265016A1 (en) 2021-08-26
MX2022010272A (es) 2022-09-19
JP2023515500A (ja) 2023-04-13
KR20220144373A (ko) 2022-10-26
US20210264267A1 (en) 2021-08-26
AU2021224873A1 (en) 2022-09-08
CN115443508A (zh) 2022-12-06
CA3168731A1 (en) 2021-08-26
US20210264266A1 (en) 2021-08-26
WO2021168360A1 (en) 2021-08-26
KR20220144374A (ko) 2022-10-26
WO2021168358A1 (en) 2021-08-26

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