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bmtkatoolkitfordeterminingmodulesinbiologicalbipartitenetworks
Wang Bei; Chen Jinyu; Zhang Shihua
2018
Source Publicationquantitativebiology
ISSN2095-4689
Volume6Issue:2Pages:186
AbstractBackground: Module detection is widely used to analyze and visualize biological networks. A number of methods and tools have been developed to achieve it. Meanwhile, bipartite module detection is also very useful for mining and analyzing bipartite biological networks and a few methods have been developed for it. However, there is few userfriendly toolkit for this task. Methods: To this end, we develop an online web toolkit BMTK, which implements seven existing methods. Results: BMTK provides a uniform operation platform and visualization function, standardizes input and output format, and improves algorithmic structure to enhance computing speed.We also apply this toolkit onto a drug-target bipartite network to demonstrate its effectiveness. Conclusions: BMTK will be a powerful tool for detecting bipartite modules in diverse bipartite biological networks. Availability: The web application is freely accessible at http://www.zhanglabtools.net/BMTK.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/44167
Collection应用数学研究所
Affiliation中国科学院数学与系统科学研究院
Recommended Citation
GB/T 7714
Wang Bei,Chen Jinyu,Zhang Shihua. bmtkatoolkitfordeterminingmodulesinbiologicalbipartitenetworks[J]. quantitativebiology,2018,6(2):186.
APA Wang Bei,Chen Jinyu,&Zhang Shihua.(2018).bmtkatoolkitfordeterminingmodulesinbiologicalbipartitenetworks.quantitativebiology,6(2),186.
MLA Wang Bei,et al."bmtkatoolkitfordeterminingmodulesinbiologicalbipartitenetworks".quantitativebiology 6.2(2018):186.
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