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.Info
- 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
- Authority
- MX
- Mexico
- Prior art keywords
- sequencing cycles
- window
- output sets
- spatial output
- artificial intelligence
- Prior art date
Links
- 238000013473 artificial intelligence Methods 0.000 title abstract 2
- 238000013144 data compression Methods 0.000 title 1
- 238000012163 sequencing technique Methods 0.000 abstract 8
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 239000012491 analyte Substances 0.000 abstract 1
- 230000006835 compression Effects 0.000 abstract 1
- 238000007906 compression Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
- G16B30/20—Sequence assembly
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING 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
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6869—Methods for sequencing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local 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
- G06V10/443—Local 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
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing 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
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
- G16B40/20—Supervised data analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
- G16B40/10—Signal processing, e.g. from mass spectrometry [MS] or from PCR
Landscapes
- 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.
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
ID=77366219
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. |
Family Applications Before (1)
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. |
Country Status (11)
Country | Link |
---|---|
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) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US11210554B2 (en) | 2019-03-21 | 2021-12-28 | Illumina, Inc. | Artificial intelligence-based generation of sequencing metadata |
US11887277B2 (en) * | 2021-02-23 | 2024-01-30 | Adobe Inc. | Removing compression artifacts from digital images and videos utilizing generative machine-learning models |
US20220301297A1 (en) * | 2021-03-16 | 2022-09-22 | 9419-6979 Québec inc. | System, method and apparatus for obtaining sensitive and specific predictions from deep neural networks |
US20230004318A1 (en) * | 2021-07-01 | 2023-01-05 | Samsung Electronics Co., Ltd. | Systems and methods for reordering data in a storage device based on data access patterns |
WO2023049212A2 (en) * | 2021-09-22 | 2023-03-30 | Illumina, Inc. | State-based base calling |
CN115514375B (zh) * | 2022-11-18 | 2023-03-24 | 江苏网进科技股份有限公司 | 一种缓存数据压缩方法 |
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2021
- 2021-02-18 US US17/179,395 patent/US20210265016A1/en active Pending
- 2021-02-19 KR KR1020227029023A patent/KR20220144373A/ko active Search and Examination
- 2021-02-19 WO PCT/US2021/018913 patent/WO2021168356A1/en unknown
- 2021-02-19 BR BR112022016416A patent/BR112022016416A2/pt unknown
- 2021-02-19 JP JP2022549984A patent/JP2023515500A/ja active Pending
- 2021-02-19 BR BR112022016495A patent/BR112022016495A2/pt not_active Application Discontinuation
- 2021-02-19 EP EP21712608.5A patent/EP4107740A1/en active Pending
- 2021-02-19 KR KR1020227029025A patent/KR20220144375A/ko active Search and Examination
- 2021-02-19 AU AU2021224873A patent/AU2021224873A1/en active Pending
- 2021-02-19 JP JP2022549996A patent/JP2023515092A/ja active Pending
- 2021-02-19 EP EP21712316.5A patent/EP4107738A1/en active Pending
- 2021-02-19 JP JP2022549987A patent/JP2023515804A/ja active Pending
- 2021-02-19 WO PCT/US2021/018915 patent/WO2021168358A1/en active Search and Examination
- 2021-02-19 MX MX2022010272A patent/MX2022010272A/es unknown
- 2021-02-19 US US17/180,513 patent/US20210264267A1/en active Pending
- 2021-02-19 IL IL295587A patent/IL295587A/en unknown
- 2021-02-19 AU AU2021224872A patent/AU2021224872A1/en active Pending
- 2021-02-19 IL IL295585A patent/IL295585A/en unknown
- 2021-02-19 AU AU2021222050A patent/AU2021222050A1/en active Pending
- 2021-02-19 US US17/180,480 patent/US20210264266A1/en active Pending
- 2021-02-19 CN CN202180015983.4A patent/CN115398549A/zh active Pending
- 2021-02-19 MX MX2022010273A patent/MX2022010273A/es unknown
- 2021-02-19 IL IL295584A patent/IL295584A/en unknown
- 2021-02-19 EP EP21712607.7A patent/EP4107739A1/en active Pending
- 2021-02-19 CA CA3168731A patent/CA3168731A1/en active Pending
- 2021-02-19 KR KR1020227029024A patent/KR20220144374A/ko active Search and Examination
- 2021-02-19 WO PCT/US2021/018917 patent/WO2021168360A1/en active Search and Examination
- 2021-02-19 CN CN202180015544.3A patent/CN115443508A/zh active Pending
- 2021-02-19 CN CN202180015512.3A patent/CN115280418A/zh active Pending
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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