Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
Bioinformatics. 2012 Oct 15;28(20):2696-7. doi: 10.1093/bioinformatics/bts506. Epub 2012 Aug 24.
TRFolder-W is a web server capable of predicting core structures of telomerase RNA (TR) in yeast genomes. TRFolder is a command-line Python toolkit for TR-specific structure prediction. We developed a web-version built on the django web framework, leveraging the work done previously, to include enhancements to increase flexibility of usage. To date, there are five core sub-structures commonly found in TR of fungal species, which are the template region, downstream pseudoknot, boundary element, core-closing stem and triple helix. The aim of TRFolder-W is to use the five core structures as fundamental units to predict potential TR genes for yeast, and to provide a user-friendly interface. Moreover, the application of TRFolder-W can be extended to predict the characteristic structure on species other than fungal species.
The web server TRFolder-W is available at http://rna-informatics.uga.edu/?f=software&p=TRFolder-w.
TRFolder-W 是一个能够预测酵母基因组中端粒酶 RNA (TR) 核心结构的网络服务器。TRFolder 是一个用于 TR 特定结构预测的命令行 Python 工具包。我们开发了一个基于 django 网络框架的网络版本，利用以前的工作，包括增强功能，以提高使用的灵活性。迄今为止，在真菌物种的 TR 中通常发现有五个核心亚结构，它们是模板区域、下游假结、边界元件、核心封闭茎和三螺旋。TRFolder-W 的目的是使用这五个核心结构作为基本单元来预测酵母的潜在 TR 基因，并提供一个用户友好的界面。此外，TRFolder-W 的应用可以扩展到预测除真菌物种以外的物种的特征结构。
网络服务器 TRFolder-W 可在 http://rna-informatics.uga.edu/?f=software&p=TRFolder-w 获得。
