Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/24162
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bittremieux, Wout | - |
dc.contributor.author | VALKENBORG, Dirk | - |
dc.contributor.author | Martens, Lennart | - |
dc.contributor.author | Laukens, Kris | - |
dc.date.accessioned | 2017-08-08T08:29:20Z | - |
dc.date.available | 2017-08-08T08:29:20Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | PROTEOMICS, 17(3-4), p. 1-11 (Art N° 1600159) | - |
dc.identifier.issn | 1615-9853 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24162 | - |
dc.description.abstract | As mass-spectrometry-based proteomics has matured during the past decade, a growing emphasis has been placed on quality control. For this purpose, multiple computational quality control tools have been introduced. These tools generate a set of metrics that can be used to assess the quality of a mass spectrometry experiment. Here we review which types of quality control metrics can be generated, and how they can be used to monitor both intra-and inter-experiment performances. We discuss the principal computational tools for quality control and list their main characteristics and applicability. Asmost of these tools have specific use cases, it is not straightforward to compare their performances. For this survey, we used different sets of quality control metrics derived from information at various stages in a mass spectrometry process and evaluated their effectiveness at capturing qualitative information about an experiment using a supervised learning approach. Furthermore, we discuss currently available algorithmic solutions that enable the usage of these quality control metrics for decision-making. | - |
dc.description.sponsorship | W.B., D.V., L.M., and K.L. acknowledge the support of the VLAIO grant "InSPECtor" (IWT project 120025). | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.rights | (C) 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim | - |
dc.subject.other | Bioinformatics; Mass spectrometry; Quality control | - |
dc.subject.other | bioinformatics; mass spectrometry; quality control | - |
dc.title | Computational quality control tools for mass spectrometry proteomics | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 11 | - |
dc.identifier.issue | 3-4 | - |
dc.identifier.spage | 1 | - |
dc.identifier.volume | 17 | - |
local.format.pages | 11 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Bittremieux, Wout; Laukens, Kris] Univ Antwerp, Dept Math & Comp Sci, Antwerp, Belgium. [Bittremieux, Wout; Laukens, Kris] Univ Antwerp, Univ Hosp, Biomed Informat Res Ctr Antwerp Biomina, Edegem, Belgium. [Valkenborg, Dirk] Flemish Inst Technol Res VITO, Mol, Belgium. [Valkenborg, Dirk] Univ Antwerp, CFP, Antwerp, Belgium. [Valkenborg, Dirk] Hasselt Univ, I BioStat, Diepenbeek, Belgium. [Martens, Lennart] VIB, Ctr Med Biotechnol, Ghent, Belgium. [Martens, Lennart] Univ Ghent, Fac Med & Hlth Sci, Dept Biochem, Ghent, Belgium. [Martens, Lennart] Univ Ghent, Bioinformat Inst Ghent, Zwijnaarde, Belgium. | - |
local.publisher.place | HOBOKEN | - |
local.type.refereed | Refereed | - |
local.type.specified | Review | - |
local.bibliographicCitation.artnr | 1600159 | - |
dc.identifier.doi | 10.1002/pmic.201600159 | - |
dc.identifier.isi | 000397012800005 | - |
item.fullcitation | Bittremieux, Wout; VALKENBORG, Dirk; Martens, Lennart & Laukens, Kris (2017) Computational quality control tools for mass spectrometry proteomics. In: PROTEOMICS, 17(3-4), p. 1-11 (Art N° 1600159). | - |
item.contributor | Bittremieux, Wout | - |
item.contributor | VALKENBORG, Dirk | - |
item.contributor | Martens, Lennart | - |
item.contributor | Laukens, Kris | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2018 | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 1615-9853 | - |
crisitem.journal.eissn | 1615-9861 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
bittremieux 1.pdf Restricted Access | Published version | 343.51 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
20
checked on Sep 3, 2020
WEB OF SCIENCETM
Citations
32
checked on Aug 27, 2024
Page view(s)
54
checked on Sep 7, 2022
Download(s)
44
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.