| scholarly article | Q13442814 |
| P356 | DOI | 10.1016/J.JBIOTEC.2017.06.005 |
| P698 | PubMed publication ID | 28606611 |
| P50 | author | Dominik A. Megger | Q38643976 |
| Gerhard Mayer | Q53584882 | ||
| Julian Uszkoreit | Q53584890 | ||
| Thilo Bracht | Q57165790 | ||
| Michael Turewicz | Q59687887 | ||
| Martin Eisenacher | Q90124535 | ||
| P2093 | author name string | Katrin Marcus | |
| Maike Ahrens | |||
| Barbara Sitek | |||
| Michael Kohl | |||
| Wael Naboulsi | |||
| P2860 | cites work | PRIDE Inspector Toolsuite: Moving Toward a Universal Visualization Tool for Proteomics Data Standard Formats and Quality Assessment of ProteomeXchange Datasets | Q27311603 |
| OpenMS: a flexible open-source software platform for mass spectrometry data analysis | Q28278187 | ||
| The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition | Q28584437 | ||
| 2016 update of the PRIDE database and its related tools | Q28603110 | ||
| A standardized framing for reporting protein identifications in mzIdentML 1.2 | Q28650420 | ||
| The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics | Q28687007 | ||
| The mzIdentML data standard for mass spectrometry-based proteomics results | Q28727227 | ||
| ProteomeXchange provides globally coordinated proteomics data submission and dissemination | Q29614806 | ||
| How to submit MS proteomics data to ProteomeXchange via the PRIDE database | Q30837745 | ||
| Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis | Q34133645 | ||
| P921 | main subject | workflow | Q627335 |
| P304 | page(s) | 116-125 | |
| P577 | publication date | 2017-06-09 | |
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | Journal of Biotechnology | Q6294860 |
| P1476 | title | BioInfra.Prot: A comprehensive proteomics workflow including data standardization, protein inference, expression analysis and data publication | |
| P478 | volume | 261 |
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| Q100504029 | The first versatile human iPSC-based model of ectopic virus induction allows new insights in RNA-virus disease |
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