David Johnson

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Citations	490	287
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Steve McKeeverAssociate Professor, Uppsala UniversityVerified email at im.uu.se
Philippe Rocca-SerraUniversity of OxfordVerified email at oerc.ox.ac.uk
Yike GuoDept of CSE, The Hong Kong University of Science and TechnologyVerified email at ust.hk
Alejandra Gonzalez-BeltranData & Software Engineering Group Leader, Scientific Computing Department, Science andVerified email at stfc.ac.uk
Shicai WangWellcome Trust Sanger InstituteVerified email at sanger.ac.uk
Ioannis PandisPfizerVerified email at its.jnj.com
Ibrahim EmamResearch Associate, Imperial CollegeVerified email at imperial.ac.uk
Robert DaveyDirector of Technology, The CarpentriesVerified email at carpentries.org
Susanna-Assunta SansoneUniversity of Oxford, Academic Lead for Research Practice; Professor of Data ReadinessVerified email at oerc.ox.ac.uk
Kostas MariasDept. of Electrical & Computer Engineering, Hellenic Mediterranean University, GreeceVerified email at hmu.gr
Norbert GrafProfessor of Paediatric OncologyVerified email at uks.eu
Georgios StamatakosResearch Professor, ICCS, School of Electrical and Computer Engineering, Nat. Tech. Univ. of AthensVerified email at central.ntua.gr
Dimitra DionysiouSenior Researcher, I-SENSE Group, Institute of Communication and Computer SystemsVerified email at iccs.gr
Vangelis SakkalisResearch DirectorVerified email at ics.forth.gr
Sijin HeBioinformatician, European Bioinformatics InstituteVerified email at ebi.ac.uk
Luca PiredduSenior Researcher, CRS4Verified email at crs4.it
Ralf WeberLecturer in Data Science and Computational Metabolomics, University of Birmingham, United KingdomVerified email at bham.ac.uk
Zhihui WangHouston Methodist Research InstituteVerified email at houstonmethodist.org
Paul KerseyRoyal Botanic Gardens, KewVerified email at kew.org
Pablo Moreno CortezTechnical Coordinator, European Bioinformatics InstituteVerified email at ebi.ac.uk

David Johnson

Institutionen för informatik och media, Uppsala universitet

Verified email at im.uu.se - Homepage

artificial intelligence big data data science digital practices


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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, 2018	71	2018
High dimensional biological data retrieval optimization with NoSQL technology S Wang, I Pandis, C Wu, S He, D Johnson, I Emam, F Guitton, Y Guo BMC genomics 15 (8), S3, 2014	63	2014
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	32	2019
Teaching agile methods to software engineering professionals: 10 years, 1000 release plans A Martin, C Anslow, D Johnson Agile Processes in Software Engineering and Extreme Programming: 18th …, 2017	32	2017
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce S Wang, I Pandis, D Johnson, I Emam, F Guitton, A Oehmichen, Y Guo BMC bioinformatics 15 (1), 351, 2014	31	2014
COPO: a metadata platform for brokering FAIR data in the life sciences F Shaw, A Etuk, A Minotto, A Gonzalez-Beltran, D Johnson, ... F1000Research 9 (495), 495, 2020	30	2020
ISA API: An open platform for interoperable life science experimental metadata D Johnson, D Batista, K Cochrane, RP Davey, A Etuk, A Gonzalez-Beltran, ... GigaScience 10 (9), giab060, 2021	21	2021
Dealing with diversity in computational cancer modeling D Johnson, S McKeever, G Stamatakos, D Dionysiou, N Graf, V Sakkalis, ... Cancer informatics 12, 115, 2013	21*	2013
Web-based workflow planning platform supporting the design and execution of complex multiscale cancer models V Sakkalis, S Sfakianakis, E Tzamali, K Marias, G Stamatakos, ... IEEE Journal of Biomedical and Health Informatics 18 (3), 824-831, 2014	20	2014
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud P Moreno, L Pireddu, P Roger, N Goonasekera, E Afgan, ... BioRxiv, 488643, 2018	18	2018
TumorML: Concept and requirements of an in silico cancer modelling markup language D Johnson, J Cooper, S McKeever Engineering in Medicine and Biology Society, EMBC, 2011 Annual International …, 2011	14	2011
Semantically Linking In Silico Cancer Models D Johnson, AJ Connor, S McKeever, TS Deisboeck, Z Wang, T Quasier, ... Cancer Informatics 8 (13(Suppl 1)), 133-43, 2014	13	2014
A middleware independent grid workflow builder for scientific applications D Johnson, K Meacham, H Kornmayer 5th IEEE International Conference on e-Science Workshops, 86-91, 2009	11	2009
"Why Did You Do That?" Explaining black box models with Inductive Synthesis G Paçacı, D Johnson, S McKeever, A Hamfelt International Conference on Computational Science, 334-345, 2019	10*	2019
The role of markup for enabling interoperability in health informatics S McKeever, D Johnson Frontiers in physiology 6, 2015	7	2015
Mobile support in CSCW applications and groupware development frameworks D Johnson International Journal of Interactive Mobile Technologies (iJIM) 7 (2), 54-62, 2013	7	2013
The TUMOR project: integrating cancer model repositories for supporting predictive oncology V Sakkalis, K Marias, G Stamatakos, F Misichroni, D Dionysiou, ... Abstract Booklet for VPH2012 Integrative Approaches to Computational …, 2012	7	2012
Markup languages for in silico oncology D Johnson, J Cooper, S McKeever 4th International Advanced Research Workshop on In Silico Oncology and …, 2010	6	2010
Saying ‘Criminality’, meaning ‘immigration’? Proxy discourses and public implicatures in the normalisation of the politics of exclusion H Ekström, M Krzyżanowski, D Johnson Critical Discourse Studies, 1-27, 2023	5*	2023
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates D Johnson, M Alsharid, R El-Bouri, N Mehdi, F Shamout, A Szenicer, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12766 …, 2022	5	2022

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