MassIVE.quant

MassIVE.quant provides a repository for deposition and reproducible reanalysis of quantitative mass spectrometry-based proteomics data by organizing raw spectra, experimental metadata, analysis scripts, intermediate input and output files, and alternative reanalyses.


Key Features:

  • Compatibility and Integration: Compatible with a wide range of mass spectrometry data acquisition methods and with multiple computational analysis tools.
  • Branch Structure Organization: Employs a branch structure that organizes raw experimental data alongside comprehensive experimental-design metadata, analysis scripts, intermediate input and output files, and alternative reanalyses.
  • Reproducibility and Data Sharing: Stores raw data and associated analytical processes to enable reproducible quantitative mass spectrometry-based proteomics experiments and facilitate validation.

Scientific Applications:

  • Comparative Proteomics: Enables comparison of proteomic measurements across different experimental conditions or biological samples.
  • Data Reanalysis and Validation: Supports independent reanalysis, validation, and verification by providing raw data and analysis scripts.
  • Collaborative Research: Facilitates data sharing to support collaboration among researchers working on related proteomic projects or methodologies.

Methodology:

Organizes datasets using a branch structure that links raw spectral data with experimental-design metadata, quantitative analysis scripts, intermediate input/output files, and alternative reanalyses.

Topics

Details

Tool Type:
api, web application
Added:
1/18/2021
Last Updated:
2/20/2021

Operations

Publications

Choi M, Carver J, Chiva C, Tzouros M, Huang T, Tsai T, Pullman B, Bernhardt OM, Hüttenhain R, Teo GC, Perez-Riverol Y, Muntel J, Müller M, Goetze S, Pavlou M, Verschueren E, Wollscheid B, Nesvizhskii AI, Reiter L, Dunkley T, Sabidó E, Bandeira N, Vitek O. MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets. Nature Methods. 2020;17(10):981-984. doi:10.1038/s41592-020-0955-0. PMID:32929271. PMCID:PMC7541731.

PMID: 32929271
PMCID: PMC7541731
Funding: - NSF | BIO | Division of Biological Infrastructure: 1759980, DBI-1054826, DBI-1759736 - U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine: 1R01LM013115 - Ministry of Economy and Competitiveness | Instituto de Salud Carlos III: PT17/0019 of the PE I+D+i 2013-2016 - U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences: P41GM103484, R24GM127667 - Wellcome Trust: 208391/Z/17/Z