Yones Cristian A, Stegmayer Georgina, Kamenetzky Laura, Milone Diego H
Research Center for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL, CONICET, Ciudad Universitaria UNL, 3000 Santa Fe, Argentina.
Research Center for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL, CONICET, Ciudad Universitaria UNL, 3000 Santa Fe, Argentina.
Biosystems. 2015 Dec;138:1-5. doi: 10.1016/j.biosystems.2015.10.003. Epub 2015 Oct 20.
miRNAfe is a comprehensive tool to extract features from RNA sequences. It is freely available as a web service, allowing a single access point to almost all state-of-the-art feature extraction methods used today in a variety of works from different authors. It has a very simple user interface, where the user only needs to load a file containing the input sequences and select the features to extract. As a result, the user obtains a text file with the features extracted, which can be used to analyze the sequences or as input to a miRNA prediction software. The tool can calculate up to 80 features where many of them are multidimensional arrays. In order to simplify the web interface, the features have been divided into six pre-defined groups, each one providing information about: primary sequence, secondary structure, thermodynamic stability, statistical stability, conservation between genomes of different species and substrings analysis of the sequences. Additionally, pre-trained classifiers are provided for prediction in different species. All algorithms to extract the features have been validated, comparing the results with the ones obtained from software of the original authors. The source code is freely available for academic use under GPL license at http://sourceforge.net/projects/sourcesinc/files/mirnafe/0.90/. A user-friendly access is provided as web interface at http://fich.unl.edu.ar/sinc/web-demo/mirnafe/. A more configurable web interface can be accessed at http://fich.unl.edu.ar/sinc/web-demo/mirnafe-full/.
miRNAfe是一个从RNA序列中提取特征的综合工具。它作为一项网络服务免费提供,通过单一访问点就能使用当今不同作者在各类研究中使用的几乎所有最先进的特征提取方法。它拥有非常简单的用户界面,用户只需加载一个包含输入序列的文件并选择要提取的特征。结果,用户会获得一个包含提取特征的文本文件,该文件可用于分析序列或作为miRNA预测软件的输入。该工具最多可计算80个特征,其中许多是多维数组。为简化网络界面,这些特征被分为六个预定义组,每组提供关于以下方面的信息:一级序列、二级结构、热力学稳定性、统计稳定性、不同物种基因组之间的保守性以及序列的子串分析。此外,还提供了针对不同物种预测的预训练分类器。所有提取特征的算法都经过了验证,并将结果与原始作者软件获得的结果进行了比较。源代码在GPL许可下可在http://sourceforge.net/projects/sourcesinc/files/mirnafe/0.90/免费获取以供学术使用。在http://fich.unl.edu.ar/sinc/web-demo/mirnafe/提供了一个用户友好的网络界面访问方式。在http://fich.unl.edu.ar/sinc/web-demo/mirnafe-full/可访问一个更具可配置性的网络界面。