Please use this identifier to cite or link to this item:
|Title:||How advancement in biological network analysis methods empowers proteomics||Authors:||Goh, W.W.B.
|Issue Date:||2012||Citation:||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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 20, 2019
WEB OF SCIENCETM
checked on May 13, 2019
checked on May 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.