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The Design And Implementation Of Biobank Information Management And Analysis System

Posted on:2017-03-15Degree:MasterType:Thesis
Country:ChinaCandidate:J X WangFull Text:PDF
GTID:2308330509957581Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Recently, more and more countries and organizations around the world have established biobanks, which have great significance to the clinical treatment of diseases and life science research and will also promite the development of translational medicine and personalized medicine. Traditional manual management methods of samples have defects of low efficiency and high error rate. On the other hand, the computer technology is develoling rapidly which provides an opportunity to realize the informaiton-based management of samples. In view of this situation, we anlayze the requirements of biobank management and then design and develop a biobank information management system(BIMS). The system can meet the needs of the daily management of the biobanks and is easy and intuitive to use, with good scalability and portability. It will effectively enhance the management of all kinds of sample information in biobanks. At the same time, the analysis module of this system will help researchers to have a better understanding of the biological samples and will promote the application of the sample in scientific research.This system can manage the various information generated during the process of sample management with high efficiency, such as sample input records, sample output records, sample quality assurance information and container informati on. At the same time, except for management of the basic information of samples, the system also has a sample analysis moudule, using semantic similarity algorithms to find the similar biological samples based on Human Phenotype Ontology(HPO). Making full use of historical sample information can help the analysis and storage of new samples. We use the three-layer architecture MVC to design the system and use SSH(Struts+Spring+Hibernate) framework to implement the system. We also make full use of other techniques, such as j Query, DWR and CSS, to optimize of the user interface and improve user experience. The system also provides visualiztion funcitons in some modules to help users manage samples more effectively.
Keywords/Search Tags:biobank, semantic similarity, Human Phenotype Ontology
PDF Full Text Request
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