Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan.
Bioinformatics. 2010 Dec 15;26(24):3127-8. doi: 10.1093/bioinformatics/btq601. Epub 2010 Oct 28.
We present an operon predictor for prokaryotic operons (PPO), which can predict operons in the entire prokaryotic genome. The prediction algorithm used in PPO allows the user to select binary particle swarm optimization (BPSO), a genetic algorithm (GA) or some other methods introduced in the literature to predict operons. The operon predictor on our web server and the provided database are easy to access and use. The main features offered are: (i) selection of the prediction algorithm; (ii) adjustable parameter settings of the prediction algorithm; (iii) graphic visualization of results; (iv) integrated database queries; (v) listing of experimentally verified operons; and (vi) related tools.
PPO is freely available at http://bio.kuas.edu.tw/PPO/.
我们提出了一种用于原核生物操纵子（PPO）的操纵子预测器，它可以预测整个原核基因组中的操纵子。PPO 中使用的预测算法允许用户选择二进制粒子群优化（BPSO）、遗传算法（GA）或文献中介绍的其他一些方法来预测操纵子。我们的网络服务器上的操纵子预测器和提供的数据库易于访问和使用。提供的主要功能包括：（i）预测算法的选择；（ii）预测算法的可调参数设置；（iii）结果的图形可视化；（iv）集成数据库查询；（v）列出实验验证的操纵子；和（vi）相关工具。
PPO 可在 http://bio.kuas.edu.tw/PPO/ 免费获得。
