QCloud: a cloud-based quality control system for mass spectrometry-based proteomics laboratories
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- dc.contributor.author Chiva, Cristina
- dc.contributor.author Olivella, Roger
- dc.contributor.author Borràs, Eva
- dc.contributor.author Espadas, Guadalupe
- dc.contributor.author Pastor, Olga
- dc.contributor.author Solé, Amanda
- dc.contributor.author Sabidó Aguadé, Eduard, 1981-
- dc.date.accessioned 2019-12-04T08:33:19Z
- dc.date.available 2019-12-04T08:33:19Z
- dc.date.issued 2018
- dc.description.abstract The increasing number of biomedical and translational applications in mass spectrometry-based proteomics poses new analytical challenges and raises the need for automated quality control systems. Despite previous efforts to set standard file formats, data processing workflows and key evaluation parameters for quality control, automated quality control systems are not yet widespread among proteomics laboratories, which limits the acquisition of high-quality results, inter-laboratory comparisons and the assessment of variability of instrumental platforms. Here we present QCloud, a cloud-based system to support proteomics laboratories in daily quality assessment using a user-friendly interface, easy setup, automated data processing and archiving, and unbiased instrument evaluation. QCloud supports the most common targeted and untargeted proteomics workflows, it accepts data formats from different vendors and it enables the annotation of acquired data and reporting incidences. A complete version of the QCloud system has successfully been developed and it is now open to the proteomics community (http://qcloud.crg.eu). QCloud system is an open source project, publicly available under a Creative Commons License Attribution-ShareAlike 4.0.
- dc.format.mimetype application/pdf
- dc.identifier.citation Chiva C, Olivella R, Borràs E, Espadas G, Pastor O, Solé A et al. QCloud: a cloud-based quality control system for mass spectrometry-based proteomics laboratories. PLoS One. 2018;13(1):e0189209. DOI: 10.1371/journal.pone.0189209
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0189209
- dc.identifier.issn 1932-6203
- dc.identifier.uri http://hdl.handle.net/10230/43083
- dc.language.iso eng
- dc.publisher Public Library of Science (PLoS)
- dc.relation.ispartof PLoS One. 2018;13(1):e0189209
- dc.rights © 2018 Chiva et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Quality control
- dc.subject.keyword Proteomic databases
- dc.subject.keyword User interfaces
- dc.subject.keyword Data processing
- dc.subject.keyword Proteomics
- dc.subject.keyword Mass spectrometers
- dc.subject.keyword Software tools
- dc.subject.keyword Data acquisition
- dc.title QCloud: a cloud-based quality control system for mass spectrometry-based proteomics laboratories
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion