NemoLib: A Java']Java Library for Efficient Network Motif Detection

被引:2
|
作者
Andersen, Andrew [1 ]
Kim, Wooyoung [1 ]
机构
[1] Univ Washington, Sch Sci Technol Engn & Math, Div Comp & Software Syst, 18115 Campus Way NE, Bothell, WA 98011 USA
关键词
NemoLib; ESU; Biological network; Network motif; EVOLUTIONARY CONSERVATION; DISCOVERY; ALGORITHM; TOOL;
D O I
10.1007/978-3-319-59575-7_42
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A network motif is defined as an overabundant subgraph pattern in a network and has been applied in various biological and medical problems. Various network motif detection algorithms and tools are currently available. However, most existing software programs are outdated, incompatible with modern operating systems, or do not provide sufficient operation instructions. Furthermore, most tools provide limited information regarding network motifs, which necessitates post-processing program to apply to real problems. Consequently, the lack of usability brings a certain amount of skepticism about the relevance of network motifs in investigating real biological problems. Therefore, this paper introduces NemoLib (network motif library) as a general purpose tool for detection and analysis of network motifs. NemoLib is highly programmable Java library which provides for extensibility.
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页码:403 / 407
页数:5
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