JP6707081B2 - 正の選択下で遺伝子を同定する方法 - Google Patents

正の選択下で遺伝子を同定する方法 Download PDF

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JP6707081B2
JP6707081B2 JP2017522100A JP2017522100A JP6707081B2 JP 6707081 B2 JP6707081 B2 JP 6707081B2 JP 2017522100 A JP2017522100 A JP 2017522100A JP 2017522100 A JP2017522100 A JP 2017522100A JP 6707081 B2 JP6707081 B2 JP 6707081B2
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mutations
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gene
genes
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リチタージ・オリビエ
スー・テン−クウェイ
カトソニス・パナジオティス
コワル・アマンダ・ミシェル
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Baylor College of Medicine
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    • 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
    • G16B10/00ICT specially adapted for evolutionary bioinformatics, e.g. phylogenetic tree construction or analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G06F17/13Differential equations
    • 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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • 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
    • G16B35/00ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/60In silico combinatorial chemistry
    • 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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/40Population genetics; Linkage disequilibrium

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JP2017522100A 2014-10-22 2015-10-21 正の選択下で遺伝子を同定する方法 Active JP6707081B2 (ja)

Applications Claiming Priority (3)

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US201462067294P 2014-10-22 2014-10-22
US62/067,294 2014-10-22
PCT/US2015/056646 WO2016064995A1 (en) 2014-10-22 2015-10-21 Method to identify genes under positive selection

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JP2017537380A JP2017537380A (ja) 2017-12-14
JP2017537380A5 JP2017537380A5 (enExample) 2018-11-29
JP6707081B2 true JP6707081B2 (ja) 2020-06-10

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EP (1) EP3210141A1 (enExample)
JP (1) JP6707081B2 (enExample)
AU (1) AU2015336005B2 (enExample)
CA (1) CA2965163A1 (enExample)
WO (1) WO2016064995A1 (enExample)

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Publication number Priority date Publication date Assignee Title
CA2965163A1 (en) 2014-10-22 2016-04-28 Baylor College Of Medicine Method to identify genes under positive selection
US10395759B2 (en) 2015-05-18 2019-08-27 Regeneron Pharmaceuticals, Inc. Methods and systems for copy number variant detection
CN109074426B (zh) 2016-02-12 2022-07-26 瑞泽恩制药公司 用于检测异常核型的方法和系统
US11281977B2 (en) * 2017-07-31 2022-03-22 Cognizant Technology Solutions U.S. Corporation Training and control system for evolving solutions to data-intensive problems using epigenetic enabled individuals
CN110782947A (zh) * 2019-10-18 2020-02-11 湖南大学 基于蛋白质序列功能区域的癌症驱动识别
WO2021178952A1 (en) * 2020-03-06 2021-09-10 The Research Institute At Nationwide Children's Hospital Genome dashboard
CN113643754B (zh) * 2021-08-11 2023-12-29 苏州赛美科基因科技有限公司 一种错义变异基因的评分处理方法、优化评分方法及装置

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WO2001016860A2 (en) * 1999-08-27 2001-03-08 Iris Bio Technologies, Inc. Artificial intelligence system for genetic analysis
US20040023296A1 (en) 2001-11-28 2004-02-05 Baylor College Of Medicine Use of quantitative evolutionary trace analysis to determine functional residues
KR101325736B1 (ko) 2010-10-27 2013-11-08 삼성에스디에스 주식회사 바이오 마커 추출 장치 및 방법
WO2014007865A1 (en) 2012-07-03 2014-01-09 Baylor College Of Medicine Evolutionary-gradient scoring of tp53 mutations (egsp53) defines risk in resectable head and neck cancer
CA2965163A1 (en) 2014-10-22 2016-04-28 Baylor College Of Medicine Method to identify genes under positive selection

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EP3210141A1 (en) 2017-08-30
WO2016064995A1 (en) 2016-04-28
US20170316148A1 (en) 2017-11-02
AU2015336005B2 (en) 2018-07-26
CA2965163A1 (en) 2016-04-28
JP2017537380A (ja) 2017-12-14
AU2015336005A1 (en) 2017-05-11
US10886005B2 (en) 2021-01-05

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