Go to page
 

Bibliographic Metadata

Title
Future Prospects of Spectral Clustering Approaches in Proteomics
AuthorGriss, Johannes ; Vizcaino, Juan Antonio ; Perez-Riverol, Yasset
Published in
Proteomics, 2018, Vol. 18, Issue ue 14, page 1700454
PublishedWiley-Blackwell, 2018
LanguageEnglish
Document typeJournal Article
Keywords (EN)algorithms / computational proteomics / mass spectrometry / spectral clustering
URNurn:nbn:at:at-ubmuw:3-1035 Persistent Identifier (URN)
DOI10.1002/pmic.201700454 
Restriction-Information
 The work is publicly available
Files
Future Prospects of Spectral Clustering Approaches in Proteomics [0.36 mb]
Links
Reference
Classification
Abstract (English)

In this article, current and future applications of spectral clustering are discussed in the context of mass spectrometrybased proteomics approaches. First of all, the main algorithms and tools that can currently be used to perform spectral clustering are introduced. In addition, its main applications and their use in current computational proteomics workflows are explained, including the generation of spectral libraries and spectral archives. Finally, possible future directions for spectral clustering, including its potential use to achieve a deeper coverage of the proteome and the discovery of novel posttranslational modifications and single amino acid variants.

Stats
The PDF-Document has been downloaded 2 times.
License
CC-BY-License (4.0)Creative Commons Attribution 4.0 International License