Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.drudis.2013.07.008
Title: Computational proteomics: Designing a comprehensive analytical strategy
Authors: Goh, W.W.B. 
Wong, L.
Issue Date: 2014
Citation: Goh, W.W.B., Wong, L. (2014). Computational proteomics: Designing a comprehensive analytical strategy. Drug Discovery Today 19 (3) : 266-274. ScholarBank@NUS Repository. https://doi.org/10.1016/j.drudis.2013.07.008
Abstract: The proper combination of proteomics with bioinformatics is highly synergistic, capable of propelling proteomics into a truly high-throughput platform. However, appropriate experimental design and analytical considerations are needed to maximize analytical outcome. This review highlights key issues and caveats in converting raw data to protein identifications, and subsequently biological insight. It offers some insights on how the establishment of highly robust proteomics pipelines can be used for studying novel areas such as computational epigenetics, high performance functional studies and new discovery paradigms for drug targets and biomarkers. © 2013 Elsevier Ltd.
Source Title: Drug Discovery Today
URI: http://scholarbank.nus.edu.sg/handle/10635/78477
ISSN: 18785832
DOI: 10.1016/j.drudis.2013.07.008
Appears in Collections:Staff Publications

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