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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
692018
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
282020
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
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
192021
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
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
Connecting digital cancer model repositories with markup: introducing TumorML version 1.0
D Johnson, S McKeever, TS Deisboeck, Z Wang
ACM SIGBioinformatics Record 3 (3), 5-11, 2013
52013
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Articles 1–20