Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.

Autor: Li DX; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Zhou P; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China., Zhao BW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Su XR; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Li GD; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Zhang J; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Hu PW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.; University of Chinese Academy of Sciences, Beijing, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China., Hu L; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China. hulun@ms.xjb.ac.cn.; University of Chinese Academy of Sciences, Beijing, China. hulun@ms.xjb.ac.cn.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Ürümqi, China. hulun@ms.xjb.ac.cn.
Jazyk: angličtina
Zdroj: BMC bioinformatics [BMC Bioinformatics] 2023 Nov 29; Vol. 24 (1), pp. 451. Date of Electronic Publication: 2023 Nov 29.
DOI: 10.1186/s12859-023-05574-9
Abstrakt: Background: As an important task in bioinformatics, clustering analysis plays a critical role in understanding the functional mechanisms of many complex biological systems, which can be modeled as biological networks. The purpose of clustering analysis in biological networks is to identify functional modules of interest, but there is a lack of online clustering tools that visualize biological networks and provide in-depth biological analysis for discovered clusters.
Results: Here we present BioCAIV, a novel webserver dedicated to maximize its accessibility and applicability on the clustering analysis of biological networks. This, together with its user-friendly interface, assists biological researchers to perform an accurate clustering analysis for biological networks and identify functionally significant modules for further assessment.
Conclusions: BioCAIV is an efficient clustering analysis webserver designed for a variety of biological networks. BioCAIV is freely available without registration requirements at http://bioinformatics.tianshanzw.cn:8888/BioCAIV/ .
(© 2023. The Author(s).)
Databáze: MEDLINE
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