Guo Jing, Lin Feng, Zhang Xiaomeng, Tanavde Vivek, Zheng Jie
Biomedical Informatics Lab, School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Bioinformatics Institute, Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore.
Bioinformatics. 2017 May 15;33(10):1583-1585. doi: 10.1093/bioinformatics/btx022.
Waddington's epigenetic landscape is a powerful metaphor for cellular dynamics driven by gene regulatory networks (GRNs). Its quantitative modeling and visualization, however, remains a challenge, especially when there are more than two genes in the network. A software tool for Waddington's landscape has not been available in the literature. We present NetLand, an open-source software tool for modeling and simulating the kinetic dynamics of GRNs, and visualizing the corresponding Waddington's epigenetic landscape in three dimensions without restriction on the number of genes in a GRN. With an interactive and graphical user interface, NetLand can facilitate the knowledge discovery and experimental design in the study of cell fate regulation (e.g. stem cell differentiation and reprogramming).
NetLand can run under operating systems including Windows, Linux and OS X. The executive files and source code of NetLand as well as a user manual, example models etc. can be downloaded from http://netland-ntu.github.io/NetLand/ .
Supplementary data are available at Bioinformatics online.
沃丁顿的表观遗传景观是由基因调控网络(GRN)驱动的细胞动力学的一个有力隐喻。然而,对其进行定量建模和可视化仍然是一个挑战,尤其是当网络中的基因超过两个时。文献中尚未有用于沃丁顿景观的软件工具。我们展示了NetLand,这是一个用于对GRN的动力学进行建模和模拟,并在三维空间中可视化相应的沃丁顿表观遗传景观的开源软件工具,且对GRN中的基因数量没有限制。借助交互式图形用户界面,NetLand可以促进细胞命运调控研究(例如干细胞分化和重编程)中的知识发现和实验设计。
NetLand可以在包括Windows、Linux和OS X在内的操作系统下运行。NetLand的可执行文件、源代码以及用户手册、示例模型等可从http://netland-ntu.github.io/NetLand/下载。
补充数据可在《生物信息学》在线获取。