BR112013012068A2 - método para estabelecer um modelo imparcial e método para selecionar uma planta - Google Patents
método para estabelecer um modelo imparcial e método para selecionar uma plantaInfo
- Publication number
- BR112013012068A2 BR112013012068A2 BR112013012068A BR112013012068A BR112013012068A2 BR 112013012068 A2 BR112013012068 A2 BR 112013012068A2 BR 112013012068 A BR112013012068 A BR 112013012068A BR 112013012068 A BR112013012068 A BR 112013012068A BR 112013012068 A2 BR112013012068 A2 BR 112013012068A2
- Authority
- BR
- Brazil
- Prior art keywords
- establishing
- plant
- selecting
- unbiased model
- unbiased
- Prior art date
Links
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
- A01H3/00—Processes for modifying phenotypes, e.g. symbiosis with bacteria
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D15/00—Separating processes involving the treatment of liquids with solid sorbents; Apparatus therefor
- B01D15/08—Selective adsorption, e.g. chromatography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/86—Signal analysis
- G01N30/8675—Evaluation, i.e. decoding of the signal into analytical information
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/483—Physical analysis of biological material
- G01N33/4833—Physical analysis of biological material of solid biological material, e.g. tissue samples, cell cultures
-
- 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
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
- G16B20/50—Mutagenesis
-
- 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
-
- 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
- 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
- G16B40/30—Unsupervised 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
- G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Chemical & Material Sciences (AREA)
- Biotechnology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Theoretical Computer Science (AREA)
- Analytical Chemistry (AREA)
- Molecular Biology (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Genetics & Genomics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Bioethics (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Evolutionary Computation (AREA)
- Public Health (AREA)
- Software Systems (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Pathology (AREA)
- Immunology (AREA)
- General Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Urology & Nephrology (AREA)
- Hematology (AREA)
- Optics & Photonics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Physiology (AREA)
- Botany (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US41464510P | 2010-11-17 | 2010-11-17 | |
US61/414,645 | 2010-11-17 | ||
PCT/US2011/060936 WO2012068217A2 (en) | 2010-11-17 | 2011-11-16 | Prediction of phenotypes and traits based on the metabolome |
Publications (2)
Publication Number | Publication Date |
---|---|
BR112013012068A2 true BR112013012068A2 (pt) | 2016-08-09 |
BR112013012068B1 BR112013012068B1 (pt) | 2020-12-01 |
Family
ID=45094266
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112013012068-1A BR112013012068B1 (pt) | 2010-11-17 | 2011-11-16 | método imparcial para prever o fenótipo ou traço de pelo menos uma planta independente |
Country Status (9)
Country | Link |
---|---|
US (1) | US9465911B2 (pt) |
EP (1) | EP2641205B1 (pt) |
AR (1) | AR083897A1 (pt) |
AU (1) | AU2011328963B2 (pt) |
BR (1) | BR112013012068B1 (pt) |
CA (1) | CA2817241C (pt) |
CL (1) | CL2013001399A1 (pt) |
ES (1) | ES2865728T3 (pt) |
WO (1) | WO2012068217A2 (pt) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9465911B2 (en) | 2010-11-17 | 2016-10-11 | Pioneer Hi-Bred International, Inc. | Prediction of phenotypes and traits based on the metabolome |
Families Citing this family (23)
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CN102930158B (zh) * | 2012-10-31 | 2016-01-20 | 哈尔滨工业大学 | 基于偏最小二乘的变量选择方法 |
DE102013200058B3 (de) * | 2013-01-04 | 2014-06-26 | Siemens Aktiengesellschaft | Automatisierte Auswertung der Rohdaten eines MR-Spektrums |
US10438581B2 (en) | 2013-07-31 | 2019-10-08 | Google Llc | Speech recognition using neural networks |
EP3173782A1 (de) * | 2015-11-26 | 2017-05-31 | Karlsruher Institut für Technologie | Verfahren zur steuerung kontinuierlicher chromatographie und multisäulen-chromatographie-anordnung |
CN106018626A (zh) * | 2016-07-29 | 2016-10-12 | 云南省烟草农业科学研究院 | 一种基于气相色谱质谱的烟草柱头代谢组学分析方法 |
CN106018654A (zh) * | 2016-07-29 | 2016-10-12 | 云南省烟草农业科学研究院 | 一种基于气相色谱质谱的烟草花柱代谢组学分析方法 |
CN106338569A (zh) * | 2016-07-29 | 2017-01-18 | 云南省烟草农业科学研究院 | 一种基于气相色谱质谱的烟草茎部代谢组学分析方法 |
CN106018627A (zh) * | 2016-07-29 | 2016-10-12 | 云南省烟草农业科学研究院 | 一种基于气相色谱质谱的烟草花粉代谢组学分析方法 |
CN106404971B (zh) * | 2016-11-29 | 2018-07-03 | 河南工业大学 | 气相色谱法鉴定大米加工精度的方法 |
WO2018110490A1 (ja) * | 2016-12-12 | 2018-06-21 | 日本電気株式会社 | 情報処理装置、遺伝情報作成方法及びプログラム |
CN106897913B (zh) * | 2017-01-22 | 2020-10-27 | 华南理工大学 | 一种精确的注塑机选型方法 |
US20180239866A1 (en) * | 2017-02-21 | 2018-08-23 | International Business Machines Corporation | Prediction of genetic trait expression using data analytics |
CN109283278B (zh) * | 2018-11-30 | 2021-10-01 | 北京林业大学 | 一种微量油茶种仁油脂含量和脂肪酸同时测定的方法 |
EP3711478A1 (en) * | 2019-03-21 | 2020-09-23 | Basf Se | Method for predicting yield loss of a crop plant |
EP3941187A1 (en) * | 2019-03-21 | 2022-01-26 | Basf Se | Method for predicting yield performance of a crop plant |
JP7244338B2 (ja) * | 2019-04-16 | 2023-03-22 | 花王株式会社 | ダイズの収量予測方法 |
WO2020213672A1 (ja) * | 2019-04-16 | 2020-10-22 | 花王株式会社 | ダイズの収量予測方法 |
JP2020174668A (ja) * | 2019-04-16 | 2020-10-29 | 花王株式会社 | ダイズの収量予測方法 |
CN111883214B (zh) * | 2019-07-05 | 2023-06-16 | 深圳数字生命研究院 | 构建诱饵库、构建目标-诱饵库、代谢组fdr鉴定的方法及装置 |
WO2021252514A1 (en) * | 2020-06-09 | 2021-12-16 | Zymergen Inc. | Metabolite fingerprinting |
CN113376283B (zh) * | 2021-06-10 | 2023-06-20 | 中国科学院成都生物研究所 | 基于小数据集的可用于非靶向危害物筛查的色谱条件快速开发方法 |
CN113516176A (zh) * | 2021-06-21 | 2021-10-19 | 中国农业大学 | 基于光谱纹理特征和k近邻法的小麦倒伏区域识别方法 |
WO2024013240A1 (en) | 2022-07-13 | 2024-01-18 | Roche Diagnostics Gmbh | A method for quality check of at least one lc-ms measurement |
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US5466597A (en) | 1990-04-26 | 1995-11-14 | Plant Genetic Systems, N.V. | Bacillus thuringiensis strains and their genes encoding insecticidal toxins |
US5277905A (en) | 1991-01-16 | 1994-01-11 | Mycogen Corporation | Coleopteran-active bacillus thuringiensis isolate |
EP0602064B1 (en) | 1991-08-02 | 1998-12-16 | Mycogen Corporation | Novel microorganism and insecticide |
CA2127807A1 (en) | 1992-11-20 | 1994-06-09 | John Maliyakal | Transgenic cotton plants producing heterologous bioplastic |
AU6162294A (en) | 1993-01-13 | 1994-08-15 | Pioneer Hi-Bred International, Inc. | High lysine derivatives of alpha-hordothionin |
US5583210A (en) | 1993-03-18 | 1996-12-10 | Pioneer Hi-Bred International, Inc. | Methods and compositions for controlling plant development |
US5593881A (en) | 1994-05-06 | 1997-01-14 | Mycogen Corporation | Bacillus thuringiensis delta-endotoxin |
US5792931A (en) | 1994-08-12 | 1998-08-11 | Pioneer Hi-Bred International, Inc. | Fumonisin detoxification compositions and methods |
US5736514A (en) | 1994-10-14 | 1998-04-07 | Nissan Chemical Industries, Ltd. | Bacillus strain and harmful organism controlling agents |
BR9609200A (pt) | 1995-06-02 | 1999-05-11 | Pioneer Hi Bred Int | Derivados de alta treonina de alpha-hordotionina |
WO1996038563A1 (en) | 1995-06-02 | 1996-12-05 | Pioneer Hi-Bred International, Inc. | HIGH METHIONINE DERIVATIVES OF α-HORDOTHIONIN |
US5703049A (en) | 1996-02-29 | 1997-12-30 | Pioneer Hi-Bred Int'l, Inc. | High methionine derivatives of α-hordothionin for pathogen-control |
US5850016A (en) | 1996-03-20 | 1998-12-15 | Pioneer Hi-Bred International, Inc. | Alteration of amino acid compositions in seeds |
EP0946729A2 (en) | 1996-11-01 | 1999-10-06 | Pioneer Hi-Bred International, Inc. | Proteins with enhanced levels of essential amino acids |
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US7805388B2 (en) * | 1998-05-01 | 2010-09-28 | Health Discovery Corporation | Method for feature selection in a support vector machine using feature ranking |
US7612255B2 (en) * | 1999-02-03 | 2009-11-03 | Jonathan Gressel | Transgenic plants for mitigating introgression of genetically engineered genetic traits |
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US7462481B2 (en) | 2000-10-30 | 2008-12-09 | Verdia, Inc. | Glyphosate N-acetyltransferase (GAT) genes |
WO2002057989A2 (en) * | 2001-01-18 | 2002-07-25 | Basf Aktiengesellschaft | Method for metabolic profiling |
WO2002103492A2 (en) * | 2001-06-19 | 2002-12-27 | University Of Southern California | Therapeutic decisions systems and method using stochastic techniques |
US20040023295A1 (en) * | 2001-11-21 | 2004-02-05 | Carol Hamilton | Methods and systems for analyzing complex biological systems |
US7747391B2 (en) * | 2002-03-01 | 2010-06-29 | Maxygen, Inc. | Methods, systems, and software for identifying functional biomolecules |
AU2003234328A1 (en) | 2002-04-30 | 2003-11-17 | Pioneer Hi-Bred International, Inc. | Novel glyphosate-n-acetyltransferase (gat) genes |
CA2501003C (en) * | 2004-04-23 | 2009-05-19 | F. Hoffmann-La Roche Ag | Sample analysis to provide characterization data |
US8190375B2 (en) * | 2005-07-08 | 2012-05-29 | Metanomics Gmbh | System and method for characterizing a chemical sample |
AU2006274029B2 (en) * | 2005-07-25 | 2011-07-14 | Metanomics Gmbh | Means and methods for analyzing a sample by means of chromatography-mass spectrometry |
JP2009516181A (ja) * | 2005-11-16 | 2009-04-16 | シェモメテック・アクティーゼルスカブ | 試料または試料の成分の化学的または物理学的特性の決定 |
AU2007234734A1 (en) | 2006-04-06 | 2007-10-18 | Monsanto Technology Llc | Method for multivariate analysis in predicting a trait of interest |
WO2008061159A2 (en) * | 2006-11-15 | 2008-05-22 | Agrigenetics, Inc. | Generation of plants with altered protein, fiber, or oil, content |
EP1936370A1 (en) | 2006-12-22 | 2008-06-25 | Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. | Determination and prediction of the expression of traits of plants from the metabolite profile as a biomarker |
US20110125477A1 (en) * | 2009-05-14 | 2011-05-26 | Lightner Jonathan E | Inverse Modeling for Characteristic Prediction from Multi-Spectral and Hyper-Spectral Remote Sensed Datasets |
US8835361B2 (en) * | 2010-06-01 | 2014-09-16 | The Curators Of The University Of Missouri | High-throughput quantitation of crop seed proteins |
BR112013012068B1 (pt) | 2010-11-17 | 2020-12-01 | Pioneer Hi-Bred International, Inc. | método imparcial para prever o fenótipo ou traço de pelo menos uma planta independente |
-
2011
- 2011-11-16 BR BR112013012068-1A patent/BR112013012068B1/pt active IP Right Grant
- 2011-11-16 WO PCT/US2011/060936 patent/WO2012068217A2/en active Application Filing
- 2011-11-16 CA CA2817241A patent/CA2817241C/en active Active
- 2011-11-16 US US13/297,584 patent/US9465911B2/en active Active
- 2011-11-16 EP EP11791143.8A patent/EP2641205B1/en active Active
- 2011-11-16 ES ES11791143T patent/ES2865728T3/es active Active
- 2011-11-16 AU AU2011328963A patent/AU2011328963B2/en active Active
- 2011-11-16 AR ARP110104281A patent/AR083897A1/es not_active Application Discontinuation
-
2013
- 2013-05-16 CL CL2013001399A patent/CL2013001399A1/es unknown
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9465911B2 (en) | 2010-11-17 | 2016-10-11 | Pioneer Hi-Bred International, Inc. | Prediction of phenotypes and traits based on the metabolome |
Also Published As
Publication number | Publication date |
---|---|
CA2817241C (en) | 2018-10-02 |
US20120119080A1 (en) | 2012-05-17 |
EP2641205B1 (en) | 2021-03-17 |
AR083897A1 (es) | 2013-04-10 |
WO2012068217A2 (en) | 2012-05-24 |
CL2013001399A1 (es) | 2014-02-21 |
AU2011328963A1 (en) | 2013-05-30 |
AU2011328963B2 (en) | 2016-12-08 |
US9465911B2 (en) | 2016-10-11 |
ES2865728T3 (es) | 2021-10-15 |
BR112013012068B1 (pt) | 2020-12-01 |
EP2641205A2 (en) | 2013-09-25 |
CA2817241A1 (en) | 2012-05-24 |
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B06T | Formal requirements before examination [chapter 6.20 patent gazette] | ||
B09A | Decision: intention to grant [chapter 9.1 patent gazette] | ||
B16A | Patent or certificate of addition of invention granted [chapter 16.1 patent gazette] |
Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 16/11/2011, OBSERVADAS AS CONDICOES LEGAIS. |