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공공누리This item is licensed Korea Open Government License

Title
Development of Network Analysis and Visualization System for KEGG Pathways
Author(s)
서동민유석종이민호
Publication Year
2015-06-16
Abstract
Big data refers to informationalization technology for extracting valuable information through the use and analysis of large-scale data and, based on that data, deriving plans for response or predicting changes. With the development of software and device for next generation sequencing, a vast amount of bioinformatics data is generated recently. Also, bioinformatics data based big-data technology is rising rapidly as a core technology by the bioinformatician, biologist and big-data scientist. KEGG pathway is bioinformatics data for understanding high-level functions and utilities of the biological system. However, KEGG pathway analysis requires a lot of time and effort because KEGG pathways are high volume and very diverse. In this paper, we proposed a network analysis and visualization system that crawl user interest KEGG pathways, constructs a pathway network based on a hierarchy structure of pathways and visualize relations and interactions of pathways by clustering and selecting core pathways from the network. Finally, to verify the superiority of our system, we evaluate the performance of our system in various experiments
Keyword
network analysis; network cluster; network visualization; KEGG pathway; bioinfomatics
Journal Title
symmetry
Citation Volume
7
ISSN
2073-8994
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14452
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART87835155
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