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

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库中的表型数据(性状、综合征等),以促进旨在解锁基因-疾病关系的表型研究。虽然在分子水平(基因和蛋白质)上的基因组研究已经得到了广泛的追求,但在功能基因组学的研究,特别是表型研究方面进展甚微。然而,迫切需要医学和生物学的更大整合,以及相关的创新信息学工具,以促进需要表型的研究

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)

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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

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{{ 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:
Proteome and Genome
蛋白质组和基因组
  • 批准号:
    9925255
  • 财政年份:
  • 资助金额:
    $ 15.56万
  • 项目类别:

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