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Construction Of Insect Genetic Database Platform And The Research On Its Key Technology

Posted on:2013-09-09Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q ZhangFull Text:PDF
GTID:2250330398493200Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the development of sequencing technique, the genomes of many important organisms were sequenced. This has accumulated a huge numbers of biological data. There are currently two types of database sources, one is specialized database for individual species, another is large-scale comprehensive database that contain the data of many species. Tough the comprehensive databases contain much more data, it is not convenient to be used for special purpose. Therefore, building a specialized insect gene database is of great significance.This paper introduces the classification of biological informatic database, and then summarizes the current development of bioinformatic databases. The insect gene database has been constructed with MySQL as its background database on the base of detailed conceptual design and detailed design for different data’s structure. The database collect a data of eight agricultural pests’transcriptome data from our laboratory, insect EST data and the genome data of Acyrthosiphon pisum, Anopheles gambia, Apis mellifera, Bombyx mori, Drosophila melanogaster and Tribolium castaneum.We constructed an insect bioinformatics platform which can be used as data retrieval and downloads, literature retrieval, BLAST sequence homology alignment service and GBrowse viewer for genome data. This platform provides ways to keyword-based sequence retrieval, data downloads. The retrieval of relevant literature is also supported. It also integrates an online analysis tools based on BLAST algorithm, providing sequence alignment, and graphical display of genome data by using GBrowse software. And finally we build a specialized insect gene database which provides a more convenient data platform for the researchers.
Keywords/Search Tags:Insect genetic data, Bioinformatic database, BLAST, GBrowse
PDF Full Text Request
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