bmtkatoolkitfordeterminingmodulesinbiologicalbipartitenetworks | |
Wang Bei; Chen Jinyu; Zhang Shihua![]() | |
刊名 | quantitativebiology
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2018 | |
卷号 | 6期号:2页码:186 |
ISSN号 | 2095-4689 |
英文摘要 | Background: 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. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/44166] ![]() |
专题 | 应用数学研究所 |
作者单位 | 中国科学院数学与系统科学研究院 |
推荐引用方式 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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