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From knotted to nested RNA structures: A variety of computational methods for pseudoknot removal

机译:从打结到嵌套RNA结构:多种去除假结的计算方法

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摘要

Pseudoknots are abundant in RNA structures. Many computational analyses require pseudoknot-free structures, which means that some of the base pairs in the knotted structure must be disregarded to obtain a nested structure. There is a surprising diversity of methods to perform this pseudoknot removal task, but these methods are often poorly described and studies can therefore be difficult to reproduce (in part, because different procedures may be intuitively obvious to different investigators). Here we provide a variety of algorithms for pseudoknot removal, some of which can incorporate sequence or alignment information in the removal process. We demonstrate that different methods lead to different results, which might affect structure-based analyses. This work thus provides a starting point for discussion of the extent to which these different methods recapture the underlying biological reality. We provide access to reference implementations through a web interface (at ), and the source code is available in the PyCogent project.
机译:假结在RNA结构中丰富。许多计算分析需要无伪结结构,这意味着必须忽略打结结构中的某些碱基对才能获得嵌套结构。有多种方法可以执行此假结去除任务,但是这些方法通常描述不清,因此很难重现研究结果(部分原因是,不同的研究人员可能会直观地看出不同的程序)。在这里,我们提供了多种用于去除假结的算法,其中一些算法可以在去除过程中加入序列或比对信息。我们证明了不同的方法会导致不同的结果,这可能会影响基于结构的分析。因此,这项工作为讨论这些不同方法在多大程度上重新捕获了潜在的生物学现实提供了起点。我们通过Web界面(位于)提供对参考实现的访问,并且源代码可在PyCogent项目中找到。

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