The Jackson Laboratory, Bar Harbor, ME 04609, USA.
Center for Theoretical Biological Physics.
Bioinformatics. 2021 Jun 9;37(9):1327-1329. doi: 10.1093/bioinformatics/btaa785.
GeneEx is an interactive web-app that uses an ODE-based mathematical modeling approach to simulate, visualize and analyze gene regulatory circuits (GRCs) for an explicit kinetic parameter set or for a large ensemble of random parameter sets. GeneEx offers users the freedom to modify many aspects of the simulation such as the parameter ranges, the levels of gene expression noise and the GRC network topology itself. This degree of flexibility allows users to explore a variety of hypotheses by providing insight into the number and stability of attractors for a given GRC. Moreover, users have the option to upload, and subsequently compare, experimental gene expression data to simulated data generated from the analysis of a built or uploaded custom circuit. Finally, GeneEx offers a curated database that contains circuit motifs and known biological GRCs to facilitate further inquiry into these. Overall, GeneEx enables users to investigate the effects of parameter variation, stochasticity and/or topological changes on gene expression for GRCs using a systems-biology approach.
GeneEx is available at https://geneex.jax.org. This web-app is released under the MIT license and is free and open to all users and there is no mandatory login requirement.
Supplementary data are available at Bioinformatics online.
GeneEx 是一个交互式网络应用程序,它使用基于 ODE 的数学建模方法来模拟、可视化和分析基因调控回路 (GRC),可针对明确的动力学参数集或大量随机参数集进行模拟。GeneEx 为用户提供了很大的自由度来修改模拟的许多方面,例如参数范围、基因表达噪声水平以及 GRC 网络拓扑结构本身。这种灵活性使用户可以通过深入了解给定 GRC 的吸引子数量和稳定性来探索各种假设。此外,用户可以选择上传实验基因表达数据,并随后将其与从构建或上传自定义电路的分析中生成的模拟数据进行比较。最后,GeneEx 提供了一个经过策展的数据库,其中包含电路基元和已知的生物 GRC,以促进对这些内容的进一步探究。总的来说,GeneEx 使用系统生物学方法使研究人员能够调查 GRC 中参数变化、随机性和/或拓扑变化对基因表达的影响。
GeneEx 可在 https://geneex.jax.org 上使用。该网络应用程序是根据麻省理工学院的许可证发布的,对所有用户都是免费且开放的,没有强制性的登录要求。
补充数据可在生物信息学在线获得。