Performance evaluation of a database of repetitive elements in complete genomes

Jong Tzong Horng; Feng Mao Lin; Li Cheng Wu; Chia Hui Chang

doi:10.1016/j.jss.2003.08.244

Performance evaluation of a database of repetitive elements in complete genomes

Jong Tzong Horng, Feng Mao Lin, Li Cheng Wu, Chia Hui Chang

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

摘要

The analysis of repetitive elements reveals repetitive elements in our genome may have been very important in the evolutionary genomics. In this work, we propose approaches to improve the performance of the repetitive elements in a database, namely Repetitive Sequence Database (RSDB). http://rsdb.csie.ncu.edu.tw/¹ There are hundreds of millions of repetitive elements in RSDB. Performance evaluation and tuning are critical for us to manage such a large database. Not only does this study have a lot of performance improvements on centralized RSDB, but also this study provides a comparison of performance between centralized RSDB and distributed RSDB. From the experimental results, we find the improvements proposed speed up our RSDB very much.

原文	???core.languages.en_GB???
頁（從 - 到）	491-506
頁數	16
期刊	Journal of Systems and Software
卷	73
發行號	3
DOIs	https://doi.org/10.1016/j.jss.2003.08.244
出版狀態	已出版 - 11月 2004

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10.1016/j.jss.2003.08.244

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title = "Performance evaluation of a database of repetitive elements in complete genomes",

abstract = "The analysis of repetitive elements reveals repetitive elements in our genome may have been very important in the evolutionary genomics. In this work, we propose approaches to improve the performance of the repetitive elements in a database, namely Repetitive Sequence Database (RSDB). http://rsdb.csie.ncu.edu.tw/1 There are hundreds of millions of repetitive elements in RSDB. Performance evaluation and tuning are critical for us to manage such a large database. Not only does this study have a lot of performance improvements on centralized RSDB, but also this study provides a comparison of performance between centralized RSDB and distributed RSDB. From the experimental results, we find the improvements proposed speed up our RSDB very much.",

author = "Horng, {Jong Tzong} and Lin, {Feng Mao} and Wu, {Li Cheng} and Chang, {Chia Hui}",

note = "Funding Information: The authors would like to thank Li-Wei Liu for his providing the infrastructure of RSDB and Hu-Chia Chang for his implementation of experiments of distributed RSDB. The authors would like to thank the National Science Council of the Republic of China for financially supporting this research under Contract No. NSC-92-2213-E-008-005. The authors are grateful to Prof. Cheng-Yuan Kao for his contribution to this research. ",

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AB - The analysis of repetitive elements reveals repetitive elements in our genome may have been very important in the evolutionary genomics. In this work, we propose approaches to improve the performance of the repetitive elements in a database, namely Repetitive Sequence Database (RSDB). http://rsdb.csie.ncu.edu.tw/1 There are hundreds of millions of repetitive elements in RSDB. Performance evaluation and tuning are critical for us to manage such a large database. Not only does this study have a lot of performance improvements on centralized RSDB, but also this study provides a comparison of performance between centralized RSDB and distributed RSDB. From the experimental results, we find the improvements proposed speed up our RSDB very much.

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Performance evaluation of a database of repetitive elements in complete genomes

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