Quantifying Turnover in Resource Economy of Synthetic Biology Applications via Stochastic Simulations.
- DOI
- 10.1007/978-1-0716-5583-2_10
- Published
- 2027
- Container
- Methods in molecular biology (Clifton, N.J.)
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-1-0716-5583-2_10,
title = {Quantifying Turnover in Resource Economy of Synthetic Biology Applications via Stochastic Simulations.},
author = {Kahramanoğulları O},
year = {2027},
journal = {Methods in molecular biology (Clifton, N.J.)},
doi = {10.1007/978-1-0716-5583-2_10},
url = {https://doi.org/10.1007/978-1-0716-5583-2_10}
}RIS
TY - JOUR TI - Quantifying Turnover in Resource Economy of Synthetic Biology Applications via Stochastic Simulations. AU - Kahramanoğulları O PY - 2027 JO - Methods in molecular biology (Clifton, N.J.) DO - 10.1007/978-1-0716-5583-2_10 UR - https://doi.org/10.1007/978-1-0716-5583-2_10 ER -
APA
O, K. (2027). Quantifying Turnover in Resource Economy of Synthetic Biology Applications via Stochastic Simulations.. Methods in molecular biology (Clifton, N.J.). https://doi.org/10.1007/978-1-0716-5583-2_10
Source records
- pubmed · retrieved 2026-11-10T10:52:24.210Z