Darren J Wilkinson
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Explore the profile of Darren J Wilkinson including associated specialties, affiliations and a list of published articles.
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37
Citations
1243
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Recent Articles
1.
Richardson L, Allen B, Baldi G, Beracochea M, Bileschi M, Burdett T, et al.
Nucleic Acids Res
. 2022 Dec;
51(D1):D753-D759.
PMID: 36477304
The MGnify platform (https://www.ebi.ac.uk/metagenomics) facilitates the assembly, analysis and archiving of microbiome-derived nucleic acid sequences. The platform provides access to taxonomic assignments and functional annotations for nearly half a million...
2.
Keating S, Waltemath D, Konig M, Zhang F, Drager A, Chaouiya C, et al.
Mol Syst Biol
. 2020 Aug;
16(8):e9110.
PMID: 32845085
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review...
3.
Smith L, Moodie S, Bergmann F, Gillespie C, Keating S, Konig M, et al.
J Integr Bioinform
. 2020 Aug;
17(2-3).
PMID: 32750035
Biological models often contain elements that have inexact numerical values, since they are based on values that are stochastic in nature or data that contains uncertainty. The Systems Biology Markup...
4.
Lee C, Garbett A, Wilkinson D
Stat Comput
. 2020 Jan;
28(4):891-904.
PMID: 31983814
A statistical model assuming a preferential attachment network, which is generated by adding nodes sequentially according to a few simple rules, usually describes real-life networks better than a model assuming,...
5.
Hucka M, Bergmann F, Chaouiya C, Drager A, Hoops S, Keating S, et al.
J Integr Bioinform
. 2019 Jun;
16(2).
PMID: 31219795
Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in...
6.
Oyebamiji O, Wilkinson D, Jayathilake P, Rushton S, Bridgens B, Li B, et al.
PLoS One
. 2018 Apr;
13(4):e0195484.
PMID: 29649240
We investigate the feasibility of using a surrogate-based method to emulate the deformation and detachment behaviour of a biofilm in response to hydrodynamic shear stress. The influence of shear force,...
7.
Hucka M, Bergmann F, Drager A, Hoops S, Keating S, Le Novere N, et al.
J Integr Bioinform
. 2018 Mar;
15(1).
PMID: 29522418
Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in...
8.
Mitchell A, Scheremetjew M, Denise H, Potter S, Tarkowska A, Qureshi M, et al.
Nucleic Acids Res
. 2017 Oct;
46(D1):D726-D735.
PMID: 29069476
EBI metagenomics (http://www.ebi.ac.uk/metagenomics) provides a free to use platform for the analysis and archiving of sequence data derived from the microbial populations found in a particular environment. Over the past...
9.
Heydari J, Lawless C, Lydall D, Wilkinson D
J R Stat Soc Ser C Appl Stat
. 2016 May;
65(3):367-393.
PMID: 27134314
Quantitative fitness analysis (QFA) is a high throughput experimental and computational methodology for measuring the growth of microbial populations. QFA screens can be used to compare the health of cell...
10.
Hucka M, Bergmann F, Drager A, Hoops S, Keating S, Le Novere N, et al.
J Integr Bioinform
. 2015 Nov;
12(2):271.
PMID: 26528569
Computational models can help researchers to interpret data, understand biological function, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in...