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

被引:84
作者
Choi, Meena [1 ]
Carver, Jeremy [2 ]
Chiva, Cristina [3 ,4 ]
Tzouros, Manuel [5 ]
Huang, Ting [1 ]
Tsai, Tsung-Heng [1 ]
Pullman, Benjamin [2 ]
Bernhardt, Oliver M. [6 ]
Huttenhain, Ruth [7 ]
Teo, Guo Ci [8 ]
Perez-Riverol, Yasset [9 ]
Muntel, Jan [6 ]
Mueller, Maik [10 ]
Goetze, Sandra [10 ,11 ]
Pavlou, Maria [10 ]
Verschueren, Erik [7 ]
Wollscheid, Bernd [10 ,11 ]
Nesvizhskii, Alexey I. [8 ]
Reiter, Lukas [6 ]
Dunkley, Tom [5 ]
Sabido, Eduard [3 ,4 ]
Bandeira, Nuno [2 ]
Vitek, Olga [1 ]
机构
[1] Northeastern Univ, Khoury Coll Comp Sci, Boston, MA 02115 USA
[2] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
[3] Barcelona Inst Sci & Technol, Prote Unit, Ctr Genom Regulat, Barcelona, Spain
[4] Univ Pompeu Fabra, Prote Unit, Barcelona, Spain
[5] Hoffmann La Roche Ltd, Roche Innovat Ctr Basel, Roche Pharma Res & Early Dev, Pharmaceut Sci, Basel, Switzerland
[6] Biognosys, Zurich, Switzerland
[7] Univ Calif San Francisco, Dept Mol & Cellular Pharmacol, San Francisco, CA 94143 USA
[8] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA
[9] European Bioinformat Inst EMBL EBI, European Mol Biol Lab, Prote Serv, Wellcome Trust Genome Campus, Cambridge, England
[10] ETH, Inst Translat Med, Dept Hlth Sci & Technol, Zurich, Switzerland
[11] Swiss Inst Bioinformat, Lausanne, Switzerland
基金
英国惠康基金;
关键词
DATA-INDEPENDENT ACQUISITION;
D O I
10.1038/s41592-020-0955-0
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
MassIVE.quant is a data repository and data resource for reproducible quantitative mass spectrometry-based proteomics. 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.
引用
收藏
页码:981 / +
页数:7
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