Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4795
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dc.contributor.authorAllmer, Jens-
dc.date.accessioned2017-02-06T13:41:45Z-
dc.date.available2017-02-06T13:41:45Z-
dc.date.issued2012-01-
dc.identifier.citationAllmer, J. (2012). Existing bioinformatics tools for the quantitation of post-translational modifications. Amino Acids, 42(1), 129-138. doi:10.1007/s00726-010-0614-3en_US
dc.identifier.issn0939-4451-
dc.identifier.issn1438-2199-
dc.identifier.urihttp://doi.org/10.1007/s00726-010-0614-3-
dc.identifier.urihttp://hdl.handle.net/11147/4795-
dc.description.abstractMass spectrometry (MS)-based proteomics, by itself, is a vast and complex area encompassing various mass spectrometers, different spectra, and search result representations. When the aim is quantitation performed in different scanning modes at different MS levels, matters become additionally complex. Quantitation of post-translational modifications (PTM) represents the greatest challenge among these endeavors. Many different approaches to quantitation have been described and some of these can be directly applied to the quantitation of PTMs. The amount of data produced via MS, however, makes manual data interpretation impractical. Therefore, specialized software tools meet this challenge. Any software currently able to quantitate differentially labeled samples may theoretically be adapted to quantitate differential PTM expression among samples as well. Due to the heterogeneity of mass spectrometry-based proteomics; this review will focus on quantitation of PTM using liquid chromatography followed by one or more stages of mass spectrometry. Currently available free software, which either allow analysis of PTM or are easily adaptable for this purpose, is briefly reviewed in this paper. Selected studies, especially those related to phosphoproteomics, shall be used to highlight the current ability to quantitate PTMs. © Springer-Verlag 2010en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofAmino Acidsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLC-MSen_US
dc.subjectPost-translational modificationen_US
dc.subjectPTMen_US
dc.subjectQuantificationen_US
dc.titleExisting bioinformatics tools for the quantitation of post-translational modificationsen_US
dc.typeArticleen_US
dc.institutionauthorAllmer, Jens-
dc.departmentİzmir Institute of Technology. Molecular Biology and Geneticsen_US
dc.identifier.volume42en_US
dc.identifier.issue1en_US
dc.identifier.startpage129en_US
dc.identifier.endpage138en_US
dc.identifier.wosWOS:000298644600010en_US
dc.identifier.scopus2-s2.0-84860235700en_US
dc.relation.publicationcategoryDiğeren_US
dc.identifier.doi10.1007/s00726-010-0614-3-
dc.identifier.pmid20473535en_US
dc.relation.doi10.1007/s00726-010-0614-3en_US
dc.coverage.doi10.1007/s00726-010-0614-3en_US
dc.identifier.wosqualityQ2-
dc.identifier.scopusqualityQ2-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.fulltextWith Fulltext-
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
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