Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4976
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAllmer, Jens-
dc.date.accessioned2017-03-06T08:30:52Z-
dc.date.available2017-03-06T08:30:52Z-
dc.date.issued2011-10-
dc.identifier.citationAllmer, 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.11.54en_US
dc.identifier.issn1478-9450-
dc.identifier.urihttp://doi.org/10.1586/epr.11.54-
dc.identifier.urihttp://hdl.handle.net/11147/4976-
dc.description.abstractProteomics 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.en_US
dc.description.sponsorshipThe Turkish Academy of Science (TÜBA)en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofExpert Review of Proteomicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectTandem MSen_US
dc.subjectMass spectrometryen_US
dc.subjectDe novoen_US
dc.subjectProteomicsen_US
dc.subjectSequencingen_US
dc.titleAlgorithms for the de novo sequencing of peptides from tandem mass spectraen_US
dc.title.alternativeDe novo sequencing of MS/MS spectra-
dc.typeArticleen_US
dc.institutionauthorAllmer, Jens-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.volume8en_US
dc.identifier.issue5en_US
dc.identifier.startpage645en_US
dc.identifier.endpage657en_US
dc.identifier.wosWOS:000296249500014en_US
dc.identifier.scopus2-s2.0-80054760698en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.1586/epr.11.54-
dc.identifier.pmid21999834en_US
dc.relation.doi10.1586/epr.11.54en_US
dc.coverage.doi10.1586/epr.11.54en_US
dc.identifier.wosqualityQ2-
dc.identifier.scopusqualityQ2-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
crisitem.author.dept04.03. Department of Molecular Biology and Genetics-
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
Files in This Item:
File Description SizeFormat 
4976.pdfİnceleme720.64 kBAdobe PDFThumbnail
View/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

100
checked on Nov 15, 2024

WEB OF SCIENCETM
Citations

89
checked on Nov 9, 2024

Page view(s)

392
checked on Nov 18, 2024

Download(s)

836
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.