Please use this identifier to cite or link to this item: https://doi.org/10.1002/pmic.201100321
Title: How advancement in biological network analysis methods empowers proteomics
Authors: Goh, W.W.B.
Lee, Y.H.
Chung, M.
Wong, L. 
Keywords: Bioinformatics
MS
Network
Issue Date: 2012
Source: Goh, W.W.B., Lee, Y.H., Chung, M., Wong, L. (2012). How advancement in biological network analysis methods empowers proteomics. Proteomics 12 (4-5) : 550-563. ScholarBank@NUS Repository. https://doi.org/10.1002/pmic.201100321
Abstract: Proteomics provides important information - that may not be inferable from indirect sources such as RNA or DNA - on key players in biological systems or disease states. However, it suffers from coverage and consistency problems. The advent of network-based analysis methods can help in overcoming these problems but requires careful application and interpretation. This review considers briefly current trends in proteomics technologies and understanding the causes of critical issues that need to be addressed - i.e., incomplete data coverage and inter-sample inconsistency. On the coverage issue, we argue that holistic analysis based on biological networks provides a suitable background on which more robust models and interpretations can be built upon; and we introduce some recently developed approaches. On consistency, group-based approaches based on identified clusters, as well as on properly integrated pathway databases, are particularly useful. Despite that protein interactions and pathway networks are still largely incomplete, given proper quality checks, applications and reasonably sized data sets, they yield valuable insights that greatly complement data generated from quantitative proteomics. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Source Title: Proteomics
URI: http://scholarbank.nus.edu.sg/handle/10635/42318
ISSN: 16159853
DOI: 10.1002/pmic.201100321
Appears in Collections:Staff Publications

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