Abstract
Protein complexes detection is a hot topic in bioinformatics. More and more researchers tend to detect the protein complexes from the Protein-Protein interaction networks. Since there are many approaches for detecting protein complexes, it will be great to integrate all approaches into a system, which can help researchers focus on analyzing. In this paper, we introduce PCMiner, an extensible system that integrates some state-of-arts protein complexes detection algorithms with distributed design and visualization technology. The system also provides application interfaces for researchers to implement their own approaches.
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Acknowledgments
This work was supported by the Natural Science Foundation of Guangdong Province, China (No. 2015A030310509), the Public Research and Capacity Building in Guangdong Province, China (No. 2016A030303055), the major Science and Technology Projects of Guangdong Province, China (No. 2016B030305004, No. 2016B010109008, No. 2013B090800024), the National High Technology Research and Development Program of China (863, No. 2013AA01A212).
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© 2016 Springer International Publishing Switzerland
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Xiao, D., Zhu, J., Tang, Y., Chen, L., Wei, J. (2016). PCMiner: An Extensible System for Analysing and Detecting Protein Complexes. In: Li, F., Shim, K., Zheng, K., Liu, G. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9932. Springer, Cham. https://doi.org/10.1007/978-3-319-45817-5_58
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DOI: https://doi.org/10.1007/978-3-319-45817-5_58
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