Please use this identifier to cite or link to this item:
|Title:||Networks in proteomics analysis of cancer|
|Authors:||Goh, W.W.B. |
|Citation:||Goh, W.W.B., Wong, L. (2013-12). Networks in proteomics analysis of cancer. Current Opinion in Biotechnology 24 (6) : 1122-1128. ScholarBank@NUS Repository. https://doi.org/10.1016/j.copbio.2013.02.011|
|Abstract:||Proteomics provides direct biological information on proteins but is still a limited platform. Borrowing from genomics, its cancer-specific applications can be broadly categorized as (1) pure diagnostics, (2) biomarkers, (3) identification of root causes and (4) identification of cancer-specific network rewirings. Biological networks capture complex relationships between proteins and provide an appropriate means of contextualization. While playing significantly larger roles, especially in 1 and 3, progress in proteomics-specific network-based methods is lagging as compared to genomics. Rapid hardware advances and improvements in proteomic identification and quantification have given rise to much better quality data alongside advent of new network-based analysis methods. However, a tighter integration between analytics and hardware is still essential for network analysis to play more significant roles in proteomics analysis. © 2013 Elsevier Ltd.|
|Source Title:||Current Opinion in Biotechnology|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 20, 2019
WEB OF SCIENCETM
checked on Mar 11, 2019
checked on Mar 23, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.