NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 261272-150749-1292
- Type
- D - Journal article
- DOI
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10.1371/journal.pcbi.1007125
- Title of journal
- PLoS Computational Biology
- Article number
- e1007125
- First page
- -
- Volume
- 15
- Issue
- 2
- ISSN
- 1553-7358
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2019
- URL
-
https://doi.org/10.1371/journal.pcbi.1007125
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
9
- Research group(s)
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B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is an output from the EPSRC Frontiers in Engineering Biology grant EP/K039083/1. The agent-based simulation software it presents underpins the results presented in five other papers stemming from the same grant: Jayathilake et al., Scientific Reports 9, 14540 (2019); Gogulancea et al., Frontiers Microbiology 10:1871 (2019; Oyebamiji et al., Journal of Computational Science 30:194-208 (2019); Oyebamiji et al., PLOS ONE 13(4): e0195484 (2018); Jayathilake et al., PLOS ONE 12(8): e0181965 (2017).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -