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MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets

Authors :
Ting Huang
Erik Verschueren
Yasset Perez-Riverol
Bernd Wollscheid
Ruth Hüttenhain
Jeremy Carver
Eduard Sabidó
Olga Vitek
Tom Dunkley
Guo Ci Teo
Oliver M. Bernhardt
Benjamin Pullman
Nuno Bandeira
Maria P. Pavlou
Lukas Reiter
Meena Choi
Cristina Chiva
Jan Muntel
Manuel Tzouros
Tsung-Heng Tsai
Alexey I. Nesvizhskii
Maik Müller
Sandra Goetze
Source :
Nature Methods, 17 (10), Nature methods, Nature Methods
Publication Year :
2020
Publisher :
Nature Publishing Group, 2020.

Abstract

MassIVE.quant is a repository infrastructure and data resource for reproducible quantitative mass spectrometry-based proteomics, which is compatible with all mass spectrometry data acquisition types and computational analysis tools. A branch structure enables MassIVE.quant to systematically store raw experimental data, metadata of the experimental design, scripts of the quantitative analysis workflow, intermediate input and output files, as well as alternative reanalyses of the same dataset. This work was supported in part by NSF CAREER award no. DBI-1054826, grant no. NSF DBI-1759736 and the Chan-Zuckerberg foundation to O.V., grant no. NIH-NLM 1R01LM013115 to N.B. and O.V., NSF award no. ABI 1759980, NIH award nos. P41GM103484 and R24GM127667 to N.B. and the Personalized Health and Related Technologies (grant no. PHRT 0-21411-18) strategic focus area of ETH to B.W. The CRG/UPF Proteomics Unit is part of the Spanish Infrastructure for Omics Technologies (ICTS OmicsTech) and it is a member of the ProteoRed PRB3 consortium that is supported by grant no. PT17/0019 of the PE I+D+i 2013–2016 from the Instituto de Salud Carlos III (ISCIII) and ERDF. We acknowledge support from the Spanish Ministry of Science, Innovation and Universities, ‘Centro de Excelencia Severo Ochoa 2013–2017’, SEV-2012–0208 and Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya (grant no. 2017SGR595). This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 823839 (EPIC-XS). Y.P.-R. acknowledges the Wellcome Trust (grant no. 208391/Z/17/Z).

Details

Language :
English
Database :
OpenAIRE
Journal :
Nature Methods, 17 (10), Nature methods, Nature Methods
Accession number :
edsair.doi.dedup.....d09560dbcf39706572c935962940d6e9