Videla Santiago, Saez-Rodriguez Julio, Guziolowski Carito, Siegel Anne
LBSI, Fundación Instituto Leloir (IIBBA-CONICET), Buenos Aires, C1405BWE, Argentina.
RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, Aachen D-52074, Germany.
Bioinformatics. 2017 Mar 15;33(6):947-950. doi: 10.1093/bioinformatics/btw738.
We introduce the caspo toolbox, a python package implementing a workflow for reasoning on logical networks families. Our software allows researchers to (i) a family of logical networks derived from a given topology and explaining the experimental response to various perturbations; (ii) all logical networks in a given family by their input-output behaviors; (iii) the response of the system to every possible perturbation based on the ensemble of predictions; (iv) new experimental perturbations to discriminate among a family of logical networks; and (v) a family of logical networks by finding all interventions strategies forcing a set of targets into a desired steady state.
caspo is open-source software distributed under the GPLv3 license. Source code is publicly hosted at http://github.com/bioasp/caspo .
我们介绍了caspo工具箱，这是一个用Python实现的用于对逻辑网络族进行推理的工作流程的软件包。我们的软件允许研究人员：(i) 从给定拓扑结构派生并解释对各种扰动的实验响应的逻辑网络族；(ii) 根据输入输出行为对给定族中的所有逻辑网络进行分类；(iii) 根据预测集合确定系统对每种可能扰动的响应；(iv) 设计新的实验扰动以区分逻辑网络族；以及(v) 通过找到将一组目标强制进入所需稳态的所有干预策略来优化逻辑网络族。
caspo是根据GPLv3许可分发的开源软件。源代码公开托管在http://github.com/bioasp/caspo 。
