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David Johnson
David Johnson
Institutionen för informatik och media, Uppsala universitet
Verified email at im.uu.se - Homepage
Title
Cited by
Cited by
Year
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
712018
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
632014
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
322019
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
322017
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
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
292020
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
212021
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
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
P Moreno, L Pireddu, P Roger, N Goonasekera, E Afgan, ...
BioRxiv, 488643, 2018
182018
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
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
132014
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
112009
"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
72015
Mobile support in CSCW applications and groupware development frameworks
D Johnson
International Journal of Interactive Mobile Technologies (iJIM) 7 (2), 54-62, 2013
72013
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
Markup languages for in silico oncology
D Johnson, J Cooper, S McKeever
4th International Advanced Research Workshop on In Silico Oncology and …, 2010
62010
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
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
52016
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Articles 1–20