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David Johnson
David Johnson
Associate Professor of Information Systems, Uppsala University, Sweden
Dirección de correo verificada de im.uu.se - Página principal
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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
762018
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
652014
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
352020
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
342019
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
332017
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
312014
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
242021
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
P Moreno, L Pireddu, P Roger, N Goonasekera, E Afgan, ...
BioRxiv, 488643, 2018
212018
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
202014
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
142014
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
142011
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
13*2023
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
122009
"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
11*2019
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
102022
The role of markup for enabling interoperability in health informatics
S McKeever, D Johnson
Frontiers in physiology 6, 2015
102015
Mobile support in CSCW applications and groupware development frameworks
D Johnson
International Journal of Interactive Mobile Technologies (iJIM) 7 (2), 54-62, 2013
82013
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
72012
ISA Model and Serialization Specifications 1.0
SA Sansone, P Rocca-Serra, A Gonzalez-Beltran, D Johnson, ...
Zenodo. https://doi.org/10.5281/zenodo.163640, 2016
62016
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Artículos 1–20