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STRAL: progressive alignment of non-coding RNA using base pairing probability vectors in quadratic time

机译:STRAL:使用碱基配对概率向量在二次时间内对非编码RNA进行逐步比对

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Motivation: Alignment of RNA has a wide range of applications, for example in phylogeny inference, consensus structure prediction and homology searches. Yet aligning structural or non-coding RNAs (ncRNAs) correctly is notoriously difficult as these RNA sequences may evolve by compensatory mutations, which maintain base pairing but destroy sequence homology. Ideally, alignment programs would take RNA structure into account. The Sankoff algorithm for the simultaneous solution of RNA structure prediction and RNA sequence alignment was proposed 20 years ago but suffers from its exponential complexity. A number of programs implement lightweight versions of the Sankoff algorithm by restricting its application to a limited type of structure and/or only pairwise alignment. Thus, despite recent advances, the proper alignment of multiple structural RNA sequences remains a problem.
机译:动机:RNA比对具有广泛的应用,例如在系统发育推断,共有结构预测和同源性搜索中。然而,众所周知,正确对齐结构或非编码RNA(ncRNA)十分困难,因为这些RNA序列可能会通过代偿突变而进化,代偿突变会维持碱基配对但破坏序列同源性。理想情况下,比对程序应考虑RNA结构。 Sankoff算法用于RNA结构预测和RNA序列比对的同时解决方案是20年前提出的,但是它具有指数级的复杂性。许多程序通过将Sankoff算法的应用限制为有限的结构类型和/或仅成对对齐来实现轻量级版本的Sankoff算法。因此,尽管有最近的进展,但是多个结构RNA序列的正确比对仍然是一个问题。

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