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Research On Information Integration And Visualization Of Crop Cultivar Molecular Design

Posted on:2013-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2253330398992264Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Over the past decade, China has made important progress on domains incuding molecular marking breeding,transgenic breeding and molecular design breeding.But because of extremely large amount biological information and there is no necessary data integration technology,it is not avaliable to get information timely and conveniently. Therefore, it is necessary to provide a comprehensive bioinformatics analysis platform on all of crop cultivar molecular design information through the integration of molecular design breeding information by technologies,which could offer easily and timely access and process information.This dissertation select biological information of cotton as a starting point to explore methods and process of building crop cultivar molecular design information database and and application of analysis system, which will be used to guide the process of cotton breeding,and provide reference for building a similar platform on other crops. This thesis includes following research content.First, analysising the situation on development of domestic and international crop breeding, pointing out the shortcomings of existing research, analysising the development status of domestic and foreign relataed fields, and then for current status of cotton bio-information database and application analysis system, it offers a way to integrate multiple existing systems and applications, to achieve knowledge sharing between various systems, finally build an unified crop culativar molecular design comprehensive bioinformatics analysis platform.Second, through analysising of existing research results CCBD (cotton cultivar molecular design bioinformatics database),cotton ontologys retrieval system,Pubsearch document retrieval system,Entrez system and SNP discovery system based on large-scale EST sequences,to determine the research idears and research papers routes.Based oU the comparative analysis results of cotton information systems,it has explored heterogeneous information integration process and built ontology-based information integration framework,achieved data sharing on knowledge databases and ontology databases.It also research key technologies on CCBD and cotton ontology research system,and make knowledge on ontology bases semantic unity through the interoperability of databases and data mappings based GO.Third,following the thesis of the technology roadmap, it has built cotton bio-information systems application integration platform based on ontology to determine the integration and process of multi-system application; it also explored process and methods of how to do expansion with ontology integration platforms using WebServices-based service way,choosing SNP discovery system as an example.Fourth,explore use and implementation of visualization techniques on gene mapping,ontology display and process of SNP discovery.It do research on technology of gene mapping using CMAP tool,do exploration of ontology visualization technologies,to build visualization environment,do research on polyploid SNP loci marking technology to achieve map service.The dissertation use ontology technology to build the connection of bioinformatics information and ontology terms, so integrate all the existing cotton cultivar molecular design information platforms, systems and services into a comprehensive bioinformatics analysis platform. The platform independence various of information systems into a whole, which produce an integrated effect, increase the efficient use of existing resources, and these will take a role as helper for the staff of cotton breeding.At the end part of dissertation, the author points out the problems and shortcomings of related research, and give propose measures for improvement of follow-up researchs, which has some practical significance and reference value to future research.
Keywords/Search Tags:Biological Information Integration, Ontology, SoftwareVisualization, Cultivar Molecular Design
PDF Full Text Request
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