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Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

机译:一对一(Pse-in-one):一种网络服务器,用于生成DNA,RNA和蛋白质序列的各种伪成分模式

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With the avalanche of biological sequences generated in the post-genomic age, one of the most challenging problems in computational biology is how to effectively formulate the sequence of a biological sample (such as DNA, RNA or protein) with a discrete model or a vector that can effectively reflect its sequence pattern information or capture its key features concerned. Although several web servers and stand-alone tools were developed to address this problem, all these tools, however, can only handle one type of samples. Furthermore, the number of their built-in properties is limited, and hence it is often difficult for users to formulate the biological sequences according to their desired features or properties. In this article, with a much larger number of built-in properties, we are to propose a much more flexible web server called Pse-in-One (http://bioinformatics.hitsz.edu.cn/Pse-in-One/), which can, through its 28 different modes, generate nearly all the possible feature vectors for DNA, RNA and protein sequences. Particularly, it can also generate those feature vectors with the properties defined by users themselves. These feature vectors can be easily combined with machine-learning algorithms to develop computational predictors and analysis methods for various tasks in bioinformatics and system biology. It is anticipated that the Pse-in-One web server will become a very useful tool in computational proteomics, genomics, as well as biological sequence analysis. Moreover, to maximize users' convenience, its stand-alone version can also be downloaded from http://bioinformatics.hitsz.edu.cn/Pse-in-One/download/, and directly run on Windows, Linux, Unix and Mac OS.
机译:随着后基因组时代产生的大量生物序列,计算生物学中最具挑战性的问题之一是如何利用离散模型或载体有效地制定生物样品的序列(例如DNA,RNA或蛋白质)可以有效地反映其序列模式信息或捕获其相关的关键特征。尽管开发了多个Web服务器和独立工具来解决此问题,但是所有这些工具只能处理一种类型的样本。此外,其内建特性的数目是有限的,因此用户经常难以根据其所需的特性或特性来配制生物序列。在本文中,我们将通过大量内置属性来提出一种更加灵活的Web服务器,称为Pse-in-One(http://bioinformatics.hitsz.edu.cn/Pse-in-One/ ),可以通过其28种不同模式生成几乎所有可能的DNA,RNA和蛋白质序列特征向量。特别是,它还可以生成具有用户自己定义的属性的那些特征向量。这些特征向量可以轻松地与机器学习算法结合,以开发用于生物信息学和系统生物学中各种任务的计算预测器和分析方法。预计“一站式” Web服务器将成为计算蛋白质组学,基因组学以及生物序列分析中非常有用的工具。此外,为了最大程度地提高用户的便利性,还可以从http://bioinformatics.hitsz.edu.cn/Pse-in-One/download/下载其独立版本,并直接在Windows,Linux,Unix和Mac上运行操作系统。

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