Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
基本信息
- 批准号:6769171
- 负责人:
- 金额:$ 15.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2004
- 资助国家:美国
- 起止时间:2004-05-01 至 2007-04-30
- 项目状态:已结题
- 来源:
- 关键词:Internetautomated data processingcancer information systemcomputer graphics /printingcomputer human interactioncomputer simulationcomputer system design /evaluationgenetic registry /resource /referral centermolecular biology information systemphenotypesemanticssystematic biologyvocabulary development for information system
项目摘要
The long-term goal of this project is to build innovative informatics tools, capable of automatically querying and organizing phenotypic data (traits, syndromes, etc.) across Phenotype databases, to facilitate phenotypic research that aims to unlock the gene-disease-relationships. While genomic research at the molecular level (genes and proteins) has been intensively pursued, little progress has been made in functional genomics research, especially phenotypic research. However, there will soon be a pressing demand for greater integration of medicine and biology, and for related innovative informatics tools to facilitate research requiring phenotypic
data. One limiting factor that significantly hinders the progress of phenotypic research is the lack of timely access to relevant phenotypes across databases. This application proposes to adopt a multidisciplinary approach (informatics, genomics and biomedical research) to explore the value of semantic, probabilistic and terminological technologies in phenotypic data and knowledge processing. The project focuses on the research and development of the Phenotype Organizer System (POS), a system designed to automate the processes of integration, organization and visualization of phenotypic data and knowledge. The hypotheses to be explored in this project are 1) a Phenotype Organizer System can be developed to effectively handle phenotypic
data and knowledge from cancer and Model Organism System Databases, and 2) POS, by using the contextual knowledge of term usage (semantic, terminological and probabilistic) can improve the incorporation and organization of phenotypic information from distinct databases. Specific aims to test these hypotheses are: (i) to model and map the terminological components of various phenotypic databases using extended semantic networks; (ii) to create a knowledge base containing the contextual properties of the terminological components; and (iii) to develop the Web-enabled Phenotype Organizer System based on aims (i) and (ii). The proposed research may provide a unique approach to accelerate biomedical research by improving access
to phenotypic data and knowledge processing - the Semantic Phenome (phenotypic-genomic relations). Further, results from these studies may yield innovative biomedical informatics tools that could be highly valuable for interdisciplinary mining of genomic, proteomic and clinical databases.
该项目的长期目标是建立创新的信息学工具,能够自动查询和组织表型数据(性状,综合征等)。表型数据库,以促进旨在解开基因-疾病-关系的表型研究。虽然在分子水平(基因和蛋白质)的基因组研究一直在积极进行,但在功能基因组学研究,特别是表型研究方面进展甚微。然而,很快就会出现对医学和生物学更大整合的迫切需求,以及对相关创新信息学工具的迫切需求,以促进需要表型分析的研究。
数据显著阻碍表型研究进展的一个限制因素是缺乏跨数据库的相关表型的及时访问。本申请建议采用多学科方法(信息学、基因组学和生物医学研究),探索语义、概率和术语技术在表型数据和知识处理中的价值。该项目的重点是研究和开发表型组织者系统(POS),该系统旨在自动化表型数据和知识的整合,组织和可视化过程。本项目的研究假设是:1)可以开发一个表型组织者系统来有效地处理表型
来自癌症和模式生物体系统数据库的数据和知识,以及2)POS,通过使用术语使用的上下文知识(语义、术语和概率),可以改善来自不同数据库的表型信息的合并和组织。测试这些假设的具体目标是:(一)模型和映射的术语组件的各种表型数据库使用扩展的语义网络;(二)创建一个知识库包含上下文属性的术语组件;和(三)开发网络启用的表型组织者系统的基础上的目标(一)和(二)。拟议中的研究可能提供一种独特的方法,通过改善获取来加速生物医学研究
表型数据和知识处理-语义表型(表型基因组关系)。此外,这些研究的结果可能会产生创新的生物医学信息学工具,这些工具对于基因组,蛋白质组学和临床数据库的跨学科挖掘非常有价值。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Yves A. Lussier其他文献
Crawler
履带式
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Kenneth A. Ross;C. S. Jensen;R. Snodgrass;C. Dyreson;Spiros Skiadopoulos;Cristina Sirangelo;M. Larsgaard;G. Grahne;Daniel Kifer;Hans;H. Hinterberger;Alin Deutsch;Alan Nash;K. Wada;W. M. P. Aalst;C. Dyreson;P. Mitra;Ian H. Witten;Bing Liu;Charu C. Aggarwal;M. Tamer Özsu;Chimezie Ogbuji;Chintan Patel;Chunhua Weng;A. Wright;Amnon Shabo (Shvo);Dan Russler;R. A. Rocha;Yves A. Lussier;James L. Chen;Mohammed J. Zaki;Antonio Corral;Michael Vassilakopoulos;Dimitrios Gunopulos;Dietmar Wolfram;S. Venkatasubramanian;Michalis Vazirgiannis;Ian Davidson;Sunita Sarawagi;Liam Peyton;Gregory D. Speegle;Victor Vianu;Dirk Van Gucht;Opher Etzion;Francisco Curbera;AnnMarie Ericsson;Mikael Berndtsson;J. Mellin;P. Gray;Goce Trajcevski;Ouri Wolfson;Peter Scheuermann;Chitra Dorai;Michael Weiner;A. Borgida;J. Mylopoulos;Gottfried Vossen;A. Reuter;Val Tannen;S. Elnikety;Alan Fekete;L. Bertossi;F. Geerts;Wenfei Fan;T. Westerveld;Cathal Gurrin;Jaana Kekäläinen;Paavo Arvola;Marko Junkkari;Kyriakos Mouratidis;Jeffrey Xu Yu;Yong Yao;John F. Gehrke;S. Babu;N. Palmer;C. Leung;Michael W. Carroll;Aniruddha S. Gokhale;Mourad Ouzzani;Brahim Medjahed;Ahmed K. Elmagarmid;S. Manegold;Graham Cormode;Serguei Mankovskii;Donghui Zhang;Theo Härder;Wei Gao;Cheng Niu;Qing Li;Yu Yang;Payam Refaeilzadeh;Lei Tang;Huan Liu;Torben Bach Pedersen;Konstantinos Morfonios;Y. Ioannidis;Michael H. Böhlen;R. Snodgrass;Lei Chen - 通讯作者:
Lei Chen
Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
- DOI:
10.1186/s12859-020-03822-w - 发表时间:
2020-11-02 - 期刊:
- 影响因子:3.300
- 作者:
Samir Rachid Zaim;Colleen Kenost;Joanne Berghout;Wesley Chiu;Liam Wilson;Hao Helen Zhang;Yves A. Lussier - 通讯作者:
Yves A. Lussier
Computational Approaches to Phenotyping
表型分析的计算方法
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
High;Yves A. Lussier;Yang Liu - 通讯作者:
Yang Liu
Yves A. Lussier的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Yves A. Lussier', 18)}}的其他基金
Systems-level genetic patterns underlying disseminated coccidioidomycosis in humans
人类播散性球孢子菌病的系统级遗传模式
- 批准号:
10337578 - 财政年份:2020
- 资助金额:
$ 15.56万 - 项目类别:
Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
- 批准号:
7217171 - 财政年份:2004
- 资助金额:
$ 15.56万 - 项目类别:
Semantic Approaches to Phenotypic Databases Analyses
表型数据库分析的语义方法
- 批准号:
6889549 - 财政年份:2004
- 资助金额:
$ 15.56万 - 项目类别:
相似海外基金
Automated data processing for two dimensional gas chromatography based metabolomics
基于二维气相色谱的代谢组学的自动数据处理
- 批准号:
495564 - 财政年份:2023
- 资助金额:
$ 15.56万 - 项目类别:
Miscellaneous Programs
AUTOMATED DATA PROCESSING FOR GENOME SEQUENCING
基因组测序的自动化数据处理
- 批准号:
2889651 - 财政年份:1992
- 资助金额:
$ 15.56万 - 项目类别:
AUTOMATED DATA PROCESSING FOR GENOME SEQUENCING
基因组测序的自动化数据处理
- 批准号:
2026820 - 财政年份:1992
- 资助金额:
$ 15.56万 - 项目类别:
AUTOMATED DATA PROCESSING FOR GENOME SEQUENCING
基因组测序的自动化数据处理
- 批准号:
2674207 - 财政年份:1992
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316944 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316933 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316934 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316939 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316942 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别:
INFORMATION SYSTEMS BRANCH AUTOMATED DATA PROCESSING
信息系统分行自动化数据处理
- 批准号:
2316941 - 财政年份:1989
- 资助金额:
$ 15.56万 - 项目类别: