Web-QuateXelero: Web-based efficient network motif detection tool

被引：0
|
作者：
Lakic, Marko [1 ]
Nega, Bann Zenebe [1 ]
Kim, Wooyoung [1 ]
机构：
[1] Univ Washington, Sch Stem, Comp & Software Syst, Bothell, WA 98011 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE | 2020年
关键词：
D O I：
10.1109/BIBM49941.2020.9313124
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
A network motif is a over-occurring subgraph pattern in a given network. Network motifs in bioinformatics play an important role in discovering significant biological functions. Although various algorithms and tools are available to detect network motifs, most of them lack accessibility and usability. Here we present, Web-QuateXelero, an online graphical user interface (GUI) program to detect network motifs efficiently. Experimental results show that the program runs faster than other online tools or other standalone programs.
引用
收藏
页码：2971 / 2973
页数：3
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