ChEBI in 2016: Improved services and an expanding collection of metabolites J Hastings, G Owen, A Dekker, M Ennis, N Kale, V Muthukrishnan, ... Nucleic acids research 44 (D1), D1214-D1219, 2016 | 975 | 2016 |
The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013 J Hastings, P De Matos, A Dekker, M Ennis, B Harsha, N Kale, ... Nucleic acids research 41 (D1), D456-D463, 2012 | 682 | 2012 |
MetaboLights: an open‐access database repository for metabolomics data NS Kale, K Haug, P Conesa, K Jayseelan, P Moreno, P Rocca‐Serra, ... Current protocols in bioinformatics 53 (1), 14.13. 1-14.13. 18, 2016 | 188 | 2016 |
PhenoMeNal: processing and analysis of metabolomics data in the cloud K Peters, J Bradbury, S Bergmann, M Capuccini, M Cascante, P de Atauri, ... GigaScience 8 (2), giy149, 2019 | 73 | 2019 |
Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology DP Hill, N Adams, M Bada, C Batchelor, TZ Berardini, H Dietze, ... BMC genomics 14, 1-10, 2013 | 69 | 2013 |
Metabolomics: the stethoscope for the twenty-first century H Ashrafian, V Sounderajah, R Glen, T Ebbels, BJ Blaise, D Kalra, ... Medical Principles and Practice 30 (4), 301-310, 2021 | 59 | 2021 |
Interoperable and scalable data analysis with microservices: applications in metabolomics P Emami Khoonsari, P Moreno, S Bergmann, J Burman, M Capuccini, ... Bioinformatics 35 (19), 3752-3760, 2019 | 30 | 2019 |
The future of metabolomics in ELIXIR M Van Rijswijk, C Beirnaert, C Caron, M Cascante, V Dominguez, ... F1000Research 6, 2017 | 25 | 2017 |
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud P Moreno, L Pireddu, P Roger, N Goonasekera, E Afgan, ... BioRxiv, 488643, 2018 | 19 | 2018 |
A large-scale crop protection bioassay data set A Gaulton, N Kale, GJP Van Westen, LJ Bellis, AP Bento, M Davies, ... Scientific Data 2 (1), 1-7, 2015 | 17 | 2015 |
Ontoquery: easy-to-use web-based owl querying I Tudose, J Hastings, V Muthukrishnan, G Owen, S Turner, A Dekker, ... Bioinformatics 29 (22), 2955-2957, 2013 | 13 | 2013 |
Metabolomics—The stethoscope for the 21st century H Ashrafian, V Sounderajah, R Glen, T Ebbels, BJ Blaise, D Kalra, ... Med Princ Pract 10 (00051), 3545, 2020 | 10 | 2020 |
Automated assembly of species metabolomes through data submission into a public repository RM Salek, P Conesa, K Cochrane, K Haug, M Williams, N Kale, P Moreno, ... Gigascience 6 (8), gix062, 2017 | 9 | 2017 |
The ChEMBL bioactivity database: an update A Gaulton, N Kale, GJP van Westen, LJ Bellis, AP Bento, M Davies, ... Scientific Data 2, 150032, 2013 | 8 | 2013 |
Interoperable and scalable metabolomics data analysis with microservices PE Khoonsari, P Moreno, S Bergmann, J Burman, M Capuccini, M Carone, ... bioRxiv, 213603, 2017 | 3 | 2017 |
The future of metabolomics in ELIXIR C Steinbeck, M van Rijswijk, C Beirnaert, C Caron, M Cascante, ... F1000Research 6, 2017 | | 2017 |
Project ID 654241 C Steinbeck, N Kale, K Haug, P Moreno, D Johnson, T Ebbels, O Spjuth, ... | | 2015 |
ChEBI for systems biology and metabolic modelling. J Hastings, N Swainston, V Muthukrishnan, N Kale, A Dekker, GI Owen, ... ICBO, 2015 | | 2015 |
Expanding natural product chemistry resources at the EBI J Hastings, P Conesa, A Dekker, M Ennis, K Haug, K Jayaseelan, N Kale, ... Journal of Cheminformatics 5, 1-1, 2013 | | 2013 |
The future of metabolomics in ELIXIR [version 1; referees M van Rijswijk, C Beirnaert, C Caron, M Cascante, V Dominguez, ... | | |