| white paper | Q223729 |
| scholarly article | Q13442814 |
| P50 | author | Christoph Steinbeck | Q5111731 |
| Egon Willighagen | Q20895241 | ||
| Ola Spjuth | Q27061853 | ||
| Alejandra González-Beltrán | Q27824575 | ||
| Marta Cascante Serratosa | Q28364210 | ||
| Philippe Rocca-Serra | Q28364404 | ||
| Etienne A Thévenot | Q43370375 | ||
| Tim Ebbels | Q53581593 | ||
| Daniel Schober | Q53584860 | ||
| Fabien Jourdan | Q55966248 | ||
| Jose L Izquierdo-Garcia | Q56528490 | ||
| Gianluigi Zanetti | Q57544848 | ||
| Kim Kultima | Q62088273 | ||
| Maria I Klapa | Q89365346 | ||
| Franck Giacomoni | Q91271569 | ||
| Ralf J M Weber | Q91776519 | ||
| Ruth Shimmo | Q117256938 | ||
| Antonio Rosato | Q40037625 | ||
| Rafael C. Jimenez | Q42739778 | ||
| Warwick Dunn | Q42869731 | ||
| Kairi Koort | Q43370367 | ||
| Merlijn van Rijswijk | Q43370369 | ||
| Charlie Beirnaert | Q43370371 | ||
| Namrata Kale | Q43370373 | ||
| Thomas Hankemeier | Q28540616 | ||
| Steffen Neumann | Q28541023 | ||
| Susanna-Assunta Sansone | Q28913668 | ||
| Reza M. Salek | Q29406339 | ||
| Kenneth Haug | Q29406424 | ||
| Oliver Kohlbacher | Q29998906 | ||
| Martin Reczko | Q37370593 | ||
| Mark R. Viant | Q37371399 | ||
| Claire O'Donovan | Q37391998 | ||
| Venkata P Satagopam | Q38324182 | ||
| P2093 | author name string | Christophe Caron | |
| Nicholas K Moschonas | |||
| Gildas Le Corguillé | |||
| Rachel A Spicer | |||
| Victoria Dominguez | |||
| P2860 | cites work | KNApSAcK Family Databases: Integrated Metabolite-Plant Species Databases for Multifaceted Plant Research | Q20900558 |
| Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences | Q21092859 | ||
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| HMDB 3.0--The Human Metabolome Database in 2013 | Q24595162 | ||
| YMDB: the Yeast Metabolome Database | Q24620625 | ||
| Data standards can boost metabolomics research, and if there is a will, there is a way | Q26776402 | ||
| The Chemical Translation Service--a web-based tool to improve standardization of metabolomic reports | Q27062596 | ||
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| MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data | Q27818909 | ||
| ChEBI in 2016: Improved services and an expanding collection of metabolites | Q27942676 | ||
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| Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems | Q28079837 | ||
| The metabolome 18 years on: a concept comes of age | Q28080314 | ||
| Toward interoperable bioscience data | Q28090939 | ||
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| The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. | Q51141864 | ||
| A proposed framework for the description of plant metabolomics experiments and their results | Q56974576 | ||
| Summary recommendations for standardization and reporting of metabolic analyses | Q56982449 | ||
| Metabolomics standards initiative: ontology working group work in progress | Q57803438 | ||
| New Methodology for Known Metabolite Identification in Metabonomics/Metabolomics: Topological Metabolite Identification Carbon Efficiency (tMICE) | Q88058675 | ||
| The metabolomics standards initiative (MSI) | Q110634614 | ||
| Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics. | Q38369752 | ||
| Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics | Q38393076 | ||
| How close are we to complete annotation of metabolomes? | Q39005431 | ||
| Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy | Q28584620 | ||
| COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access | Q28611417 | ||
| The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services | Q28842753 | ||
| Critical Assessment of Small Molecule Identification 2016: automated methods | Q29052362 | ||
| A community-driven global reconstruction of human metabolism. | Q29614690 | ||
| BioMagResBank | Q29614807 | ||
| Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data | Q31049058 | ||
| Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants | Q33389398 | ||
| A community proposal to integrate proteomics activities in ELIXIR | Q33878787 | ||
| Training needs in metabolomics | Q35763100 | ||
| A Computational Solution to Automatically Map Metabolite Libraries in the Context of Genome Scale Metabolic Networks | Q35933571 | ||
| The Time Is Right to Focus on Model Organism Metabolomes | Q36741618 | ||
| KEGG: new perspectives on genomes, pathways, diseases and drugs | Q37556832 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P921 | main subject | metabolomics | Q12149006 |
| ELIXIR | Q12269561 | ||
| P1104 | number of pages | 16 | |
| P304 | page(s) | 1649 | |
| P577 | publication date | 2017-09-06 | |
| P1433 | published in | F1000Research | Q27701587 |
| P1476 | title | The future of metabolomics in ELIXIR. | |
| P478 | volume | 6 |
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