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MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets
- 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).
- Subjects :
- Proteomics
Computer science
Saccharomyces cerevisiae
Information repository
computer.software_genre
Mass spectrometry
Data publication and archiving
Biochemistry
Article
Mass Spectrometry
Fungal Proteins
03 medical and health sciences
Data acquisition
Databases, Protein
Molecular Biology
030304 developmental biology
0303 health sciences
Reproducibility of Results
Experimental data
Cell Biology
Metadata
Workflow
ComputingMethodologies_PATTERNRECOGNITION
Quantitative analysis (finance)
Data mining
computer
Algorithms
Software
Biotechnology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Nature Methods, 17 (10), Nature methods, Nature Methods
- Accession number :
- edsair.doi.dedup.....d09560dbcf39706572c935962940d6e9