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Web-gLV: A Web Based Platform for Lotka-Volterra Based Modeling and Simulation of Microbial Populations

机译:Web-gLV:基于Web的Lotka-Volterra微生物种群建模和仿真平台

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The affordability of high throughput DNA sequencing has allowed us to explore the dynamics of microbial populations in various ecosystems. Mathematical modeling and simulation of such microbiome time series data can help in getting better understanding of bacterial communities. In this paper, we present Web-gLV—a GUI based interactive platform for generalized Lotka-Volterra (gLV) based modeling and simulation of microbial populations. The tool can be used to generate the mathematical models with automatic estimation of parameters and use them to predict future trajectories using numerical simulations. We also demonstrate the utility of our tool on few publicly available datasets. The case studies demonstrate the ease with which the current tool can be used by biologists to model bacterial populations and simulate their dynamics to get biological insights. We expect Web-gLV to be a valuable contribution in the field of ecological modeling and metagenomic systems biology.
机译:高通量DNA测序的可负担性使我们能够探索各种生态系统中微生物种群的动态。这种微生物组时间序列数据的数学建模和模拟可以帮助您更好地了解细菌群落。在本文中,我们提出了Web-gLV-一个基于GUI的交互式平台,用于基于Lotka-Volterra(gLV)的微生物种群建模和仿真。该工具可用于生成带有参数自动估计的数学模型,并使用它们通过数值模拟来预测未来的轨迹。我们还将在少数几个公开可用的数据集上演示我们工具的实用性。案例研究表明,生物学家可以轻松地使用当前工具对细菌种群进行建模并模拟其动态过程,以获取生物学见解。我们希望Web-gLV在生态建模和宏基因组学系统生物学领域做出宝贵的贡献。

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