MX2019003765A - Clasificacion de genes especificos de fenotipos/enfermedades utilizando estructuras de datos clasificados, de biblioteca de genes y basados en red. - Google Patents

Clasificacion de genes especificos de fenotipos/enfermedades utilizando estructuras de datos clasificados, de biblioteca de genes y basados en red.

Info

Publication number
MX2019003765A
MX2019003765A MX2019003765A MX2019003765A MX2019003765A MX 2019003765 A MX2019003765 A MX 2019003765A MX 2019003765 A MX2019003765 A MX 2019003765A MX 2019003765 A MX2019003765 A MX 2019003765A MX 2019003765 A MX2019003765 A MX 2019003765A
Authority
MX
Mexico
Prior art keywords
curated
phenotype
data structures
systems
network based
Prior art date
Application number
MX2019003765A
Other languages
English (en)
Inventor
Jung Marc
Ng Sam
R Delaney Joseph
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.)
Filing date
Publication date
Application filed by Illumina Inc filed Critical Illumina Inc
Publication of MX2019003765A publication Critical patent/MX2019003765A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • 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
    • G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
    • 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
    • G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
    • G16B5/20—Probabilistic models

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Physics & Mathematics (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Analytical Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Chemical & Material Sciences (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Genetics & Genomics (AREA)
  • Physiology (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La presente invención se refiere a métodos, sistemas y aparatos para capturar, integrar, organizar, navegar, y consultar datos a gran escala de plataformas de ensayos químicos y biológicos de alto rendimiento. Proporciona una infraestructura de metanálisis altamente eficiente para realizar consultas de investigación en una gran cantidad de estudios y experimentos de diferentes ensayos biológicos y químicos, tipos de datos y organismos, así como sistemas para formar y agregarlos a tal infraestructura. De acuerdo con diversas modalidades, métodos, sistemas a interfaces para identificar genes que están potencialmente asociados con un concepto biológico, químico o médico de interés.
MX2019003765A 2016-10-03 2017-10-03 Clasificacion de genes especificos de fenotipos/enfermedades utilizando estructuras de datos clasificados, de biblioteca de genes y basados en red. MX2019003765A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662403206P 2016-10-03 2016-10-03
PCT/US2017/054977 WO2018067595A1 (en) 2016-10-03 2017-10-03 Phenotype/disease specific gene ranking using curated, gene library and network based data structures

Publications (1)

Publication Number Publication Date
MX2019003765A true MX2019003765A (es) 2019-09-26

Family

ID=60117816

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2019003765A MX2019003765A (es) 2016-10-03 2017-10-03 Clasificacion de genes especificos de fenotipos/enfermedades utilizando estructuras de datos clasificados, de biblioteca de genes y basados en red.

Country Status (11)

Country Link
US (1) US10810213B2 (es)
EP (1) EP3520006B1 (es)
JP (1) JP2020502697A (es)
KR (1) KR20190077372A (es)
CN (1) CN109906486B (es)
AU (2) AU2017338775B2 (es)
CA (1) CA3039201A1 (es)
MX (1) MX2019003765A (es)
RU (1) RU2019110756A (es)
SG (1) SG11201902925PA (es)
WO (1) WO2018067595A1 (es)

Families Citing this family (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2625288T3 (es) 2011-04-15 2017-07-19 The Johns Hopkins University Sistema de secuenciación segura
AU2013338393B2 (en) 2012-10-29 2017-05-11 The Johns Hopkins University Papanicolaou test for ovarian and endometrial cancers
WO2017027653A1 (en) 2015-08-11 2017-02-16 The Johns Hopkins University Assaying ovarian cyst fluid
US11948662B2 (en) * 2017-02-17 2024-04-02 The Regents Of The University Of California Metabolite, annotation, and gene integration system and method
WO2019067092A1 (en) 2017-08-07 2019-04-04 The Johns Hopkins University METHODS AND SUBSTANCES FOR THE EVALUATION AND TREATMENT OF CANCER
EP3550568B1 (en) * 2018-04-07 2023-07-05 Tata Consultancy Services Limited Graph convolution based gene prioritization on heterogeneous networks
US11354591B2 (en) 2018-10-11 2022-06-07 International Business Machines Corporation Identifying gene signatures and corresponding biological pathways based on an automatically curated genomic database
JP2022504916A (ja) * 2018-10-12 2022-01-13 ヒューマン ロンジェヴィティ インコーポレイテッド 癌の遺伝子および臨床データの統合分析のためのマルチオミクス検索エンジン
KR102230156B1 (ko) * 2018-10-15 2021-03-19 연세대학교 산학협력단 네트워크 기반의 유전자 세트 증강 분석 방법을 이용한 약물 재창출 방법
CN109684286B (zh) * 2018-12-28 2021-10-22 中国科学院苏州生物医学工程技术研究所 数字期刊实验数据共享方法及系统、存储介质、电子设备
US20220223225A1 (en) * 2019-05-24 2022-07-14 Northeastern University Chemical-disease perturbation ranking
CN110310708A (zh) * 2019-06-18 2019-10-08 广东省生态环境技术研究所 一种构建异化砷还原酶蛋白数据库的方法
CN110364266A (zh) * 2019-06-28 2019-10-22 深圳裕策生物科技有限公司 用于指导临床肿瘤个体化用药的数据库及其构建方法和装置
WO2021033179A1 (en) * 2019-08-20 2021-02-25 Technion Research & Development Foundation Limited Automated literature meta analysis using hypothesis generators and automated search
CN110797080A (zh) * 2019-10-18 2020-02-14 湖南大学 基于跨物种迁移学习预测合成致死基因
CN110729022B (zh) * 2019-10-24 2023-06-23 江西中烟工业有限责任公司 一种被动吸烟大鼠早期肝损伤模型建立方法及相关基因筛选方法
CN111028883B (zh) * 2019-11-20 2023-07-18 广州达美智能科技有限公司 基于布尔代数的基因处理方法、装置及可读存储介质
EP3855114A1 (en) * 2020-01-22 2021-07-28 Siemens Gamesa Renewable Energy A/S A method and an apparatus for computer-implemented analyzing of a road transport route
CN111540405B (zh) * 2020-04-29 2023-07-07 新疆大学 一种基于快速网络嵌入的疾病基因预测方法
JP7402140B2 (ja) * 2020-09-23 2023-12-20 株式会社日立製作所 登録装置、登録方法、および登録プログラム
CN112802546B (zh) * 2020-12-29 2024-05-03 中国人民解放军军事科学院军事医学研究院 一种生物状态表征方法、装置、设备及存储介质
TWI755261B (zh) * 2021-01-25 2022-02-11 沐恩生醫光電股份有限公司 基因評估裝置以及方法
US11823440B2 (en) 2021-08-19 2023-11-21 Rehrig Pacific Company Imaging system with unsupervised learning
CN115240772B (zh) * 2022-08-22 2023-08-22 南京医科大学 一种基于图神经网络的解析单细胞通路活性的方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007075488A2 (en) 2005-12-16 2007-07-05 Nextbio System and method for scientific information knowledge management
US9183349B2 (en) * 2005-12-16 2015-11-10 Nextbio Sequence-centric scientific information management
US8364665B2 (en) 2005-12-16 2013-01-29 Nextbio Directional expression-based scientific information knowledge management
CN101989297A (zh) * 2009-07-30 2011-03-23 陈越 用于计算机上的疾病基因相关药物发掘系统
CN102855398B (zh) 2012-08-28 2016-03-02 中国科学院自动化研究所 基于多源信息融合的疾病潜在关联基因的获取方法
US10072296B2 (en) * 2016-09-19 2018-09-11 The Charlotte Mecklenburg Hospital Authority Compositions and methods for sjögren's syndrome

Also Published As

Publication number Publication date
JP2020502697A (ja) 2020-01-23
EP3520006A1 (en) 2019-08-07
SG11201902925PA (en) 2019-05-30
US10810213B2 (en) 2020-10-20
CA3039201A1 (en) 2018-04-12
RU2019110756A (ru) 2020-11-06
CN109906486B (zh) 2023-07-14
AU2022268283B2 (en) 2024-03-28
KR20190077372A (ko) 2019-07-03
CN109906486A (zh) 2019-06-18
WO2018067595A1 (en) 2018-04-12
US20180095969A1 (en) 2018-04-05
EP3520006B1 (en) 2023-11-29
AU2017338775A1 (en) 2019-05-02
AU2022268283A1 (en) 2022-12-15
AU2017338775B2 (en) 2022-08-11

Similar Documents

Publication Publication Date Title
MX2019003765A (es) Clasificacion de genes especificos de fenotipos/enfermedades utilizando estructuras de datos clasificados, de biblioteca de genes y basados en red.
Karaiskos et al. The Drosophila embryo at single-cell transcriptome resolution
Wang et al. LncRNA structural characteristics in epigenetic regulation
Igolkina et al. H3K4me3, H3K9ac, H3K27ac, H3K27me3 and H3K9me3 histone tags suggest distinct regulatory evolution of open and condensed chromatin landmarks
WO2007075488A3 (en) System and method for scientific information knowledge management
EP4235677A3 (en) Processes and systems for nucleic acid sequence assembly
MX2016016902A (es) Metodos para analizar acidos nucleicos de celulas individuales o poblaciones de celulas.
Workman et al. Drugging cancer genomes
WO2014116851A3 (en) Methods and systems for using a cloud computing environment to share biological related data
MX361481B (es) Composiciones y metodos para procesamiento de muestras.
Ke et al. Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity
SG10201811714UA (en) Substance sealing method and target molecule detecting method
Dorado et al. Analyzing modern biomolecules: the revolution of nucleic-acid sequencing–Review
Micheel et al. Advances in non-coding RNA sequencing
Sivakala et al. Desert environments facilitate unique evolution of biosynthetic potential in Streptomyces
Vegh et al. The impact of single-cell RNA sequencing on understanding the functional organization of the immune system
Alganem et al. Kaleidoscope: a new bioinformatics pipeline web application for in silico hypothesis exploration of omics signatures
Kashima et al. Combinatory use of distinct single-cell RNA-seq analytical platforms reveals the heterogeneous transcriptome response
Jacobs et al. RNA polymerase I is uniquely vulnerable to the small-molecule inhibitor BMH-21
Sloth et al. Analysis of compositional bias in a commercial phage display peptide library by next-generation sequencing
Brockley et al. Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer
Kint et al. Integration of ‘omics’ data: does it lead to new insights into host–microbe interactions?
SG195382A1 (en) Automated size selection of nucleic acids
WO2016085262A3 (ko) 약물 가상 탐색 방법과 집중 탐색 라이브러리 구축 방법 및 이를 위한 시스템
Bik Deciphering diversity and ecological function from marine metagenomes