Sangam: A Confluence of Knowledge Streams

SimuBP: A Simulator of Population Dynamics and Mutations Based on Branching Processes

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dc.creator Wu, Xiaowei
dc.date 2023-01-20T17:40:03Z
dc.date 2023-01-20T17:40:03Z
dc.date 2023-01-18
dc.date 2023-01-20T14:22:44Z
dc.date.accessioned 2023-02-28T17:40:28Z
dc.date.available 2023-02-28T17:40:28Z
dc.identifier Wu, X. SimuBP: A Simulator of Population Dynamics and Mutations Based on Branching Processes. Axioms 2023, 12, 101.
dc.identifier http://hdl.handle.net/10919/113317
dc.identifier https://doi.org/10.3390/axioms12020101
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/266615
dc.description Originating from the Luria–Delbrück experiment in 1943, fluctuation analysis (FA) has been well developed to demonstrate random mutagenesis in microbial cell populations and infer mutation rates. Despite the remarkable progress in its theory and applications, FA often faces difficulties in the computation perspective, due to the lack of appropriate simulators. Existing simulation algorithms are usually designed specifically for particular scenarios, thus their applications may be largely restricted. There is a pressing need for more flexible simulators that rely on minimum model assumptions and are highly adaptable to produce data for a wide range of scenarios. In this study, we propose SimuBP, a simulator of population dynamics and mutations based on branching processes. SimuBP generates data based on a general two-type branching process, which is able to mimic the real cell proliferation and mutation process. Through simulations under traditional FA assumptions, we demonstrate that the data generated by SimuBP follow expected distributions, and exhibit high consistency with those generated by two alternative simulators. The most impressive feature of SimuBP lies in its flexibility, which enables the simulation of data analogous to real fluctuation experiments. We demonstrate the application of SimuBP through examples of estimating mutation rates.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.title SimuBP: A Simulator of Population Dynamics and Mutations Based on Branching Processes
dc.title Axioms
dc.type Article - Refereed
dc.type Text


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