http://hdl.handle.net/1893/24725
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
Peer Review Status: | Refereed |
Title: | Shotgun proteomics: concept, key points and data mining |
Author(s): | Matallana-Surget, Sabine Baptiste, Leroy Wattiez, Ruddy |
Contact Email: | sabine.matallanasurget@stir.ac.uk |
Issue Date: | 2010 |
Date Deposited: | 20-Dec-2016 |
Citation: | Matallana-Surget S, Baptiste L & Wattiez R (2010) Shotgun proteomics: concept, key points and data mining (Editorial). Expert Review of Proteomics, 7 (1), pp. 5-7. https://doi.org/10.1586/epr.09.101 |
Abstract: | First paragraph: Mass spectrometry (MS)-based approaches are used increasingly to address diverse questions in proteomics research, enabling one to comprehensively analyze complex samples of proteins on a global level. Owing to all the effort devoted to explore entire genomes, we now have access to a multitude of completed genome sequences, which has recently opened up a new era of ‘shotgun proteome sequencing’. The concept of shotgun proteomics basically consists of the multidimensional separation (MudPIT) of a complex mixture of peptides, generated from the treatment of a specific protease (e.g., trypsin), analyzed using MS/MS and then submitted to automated database searching. |
DOI Link: | 10.1586/epr.09.101 |
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Notes: | Output Type: Editorial |
Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
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Shotgun proteomics concept data mining.pdf | Fulltext - Published Version | 501.71 kB | Adobe PDF | Under Embargo until 2996-12-01 Request a copy |
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