Incremental Structured Web Database Crawling via History Versions

Author(s):  
Wei Liu ◽  
Jianguo Xiao
Keyword(s):  
2011 ◽  
Vol 34 (2) ◽  
pp. 360-370
Author(s):  
Yu-Kui LIU ◽  
Li-Zhu ZHOU ◽  
Ju FAN
Keyword(s):  
Deep Web ◽  

2014 ◽  
pp. 157-210
Author(s):  
Mark J. Collins ◽  
Michael Mayberry
Keyword(s):  

2014 ◽  
Vol 556-562 ◽  
pp. 5280-5283 ◽  
Author(s):  
Shou Wen Pang ◽  
Xiu Fu Song

The combination of marine diesel engine traditional multimedia teaching material database and Web database developed the Web database based on. The system development environment, system function, system architecture and database gateway technology are analyzed in the paper. Further this database plays a role in the network education in now.


2019 ◽  
Author(s):  
Ningbo Chen ◽  
Weiwei Fu ◽  
Jianbang Zhao ◽  
Jiafei Shen ◽  
Qiuming Chen ◽  
...  

AbstractNext-generation sequencing has yielded a vast amount of cattle genomic data for the global characterization of population genetic diversity and the identification of regions of the genome under natural and artificial selection. However, efficient storage, querying and visualization of such large datasets remain challenging. Here, we developed a comprehensive Bovine Genome Variation Database (BGVD, http://animal.nwsuaf.edu.cn/BosVar) that provides six main functionalities: Gene Search, Variation Search, Genomic Signature Search, Genome Browser, Alignment Search Tools and the Genome Coordinate Conversion Tool. The BGVD contains information on genomic variations comprising ∼60.44 M SNPs, ∼6.86 M indels, 76,634 CNV regions and signatures of selective sweeps in 432 samples from modern cattle worldwide. Users can quickly retrieve distribution patterns of these variations for 54 cattle breeds through an interactive source of breed origin map using a given gene symbol or genomic region for any of the three versions of the bovine reference genomes (ARS-UCD1.2, UMD3.1.1, and Btau 5.0.1). Signals of selection are displayed as Manhattan plots and Genome Browser tracks. To further investigate and visualize the relationships between variants and signatures of selection, the Genome Browser integrates all variations, selection data and resources from NCBI, the UCSC Genome Browser and AnimalQTLdb. Collectively, all these features make the BGVD a useful archive for in-depth data mining and analyses of cattle biology and cattle breeding on a global scale.


2021 ◽  
Author(s):  
Shichen Qiao ◽  
Chen Shen

In this study, a web database application with the Flask framework was developed to implement three types of queries and visualize the results over a bioinformatical dataset from Alfalfa (Medicago sativa). A backend SQLite database was constructed from genome FASTA, population variations, transcriptome, and annotation files with extensions ".fasta", ".gff", "vcf", ".annotate", etc. Further, a supplementary command-line-based Java application was also developed for faster access to the database without direct SQL programming. Overall, Python, Java, and HTML were the main programming languages used in this application. Those scripts and the development procedures are valuable for bioinformaticians to build online databases from similar raw datasets of other species.


2010 ◽  
Vol 10 (11) ◽  
pp. 20-29
Author(s):  
Seung-Geun Oh ◽  
Young-Hee Im ◽  
Yong-Wha Chung ◽  
Jin-Kyung Chang ◽  
Dai-Hee Park

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