Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4976
Title: Algorithms for the de novo sequencing of peptides from tandem mass spectra
Other Titles: De novo sequencing of MS/MS spectra
Authors: Allmer, Jens
Keywords: Tandem MS
Mass spectrometry
De novo
Proteomics
Sequencing
Issue Date: Oct-2011
Publisher: Taylor & Francis
Source: Allmer, J. (2011). Algorithms for the de novo sequencing of peptides from tandem mass spectra. Expert Review of Proteomics, 8(5), 645-657. doi:10.1586/epr.11.54
Abstract: Proteomics is the study of proteins, their time- and location-dependent expression profiles, as well as their modifications and interactions. Mass spectrometry is useful to investigate many of the questions asked in proteomics. Database search methods are typically employed to identify proteins from complex mixtures. However, databases are not often available or, despite their availability, some sequences are not readily found therein. To overcome this problem, de novo sequencing can be used to directly assign a peptide sequence to a tandem mass spectrometry spectrum. Many algorithms have been proposed for de novo sequencing and a selection of them are detailed in this article. Although a standard accuracy measure has not been agreed upon in the field, relative algorithm performance is discussed. The current state of the de novo sequencing is assessed thereafter and, finally, examples are used to construct possible future perspectives of the field. © 2011 Expert Reviews Ltd.
URI: http://doi.org/10.1586/epr.11.54
http://hdl.handle.net/11147/4976
ISSN: 1478-9450
Appears in Collections:Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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