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RNAconTest: comparing tools for noncoding RNA multiple sequence alignment based on structural consistency

机译:RNACONTEST:基于结构一致性的非划分RNA多序列对准的工具

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摘要

The importance of noncoding RNA sequences has become increasingly clear over the past decade. New RNA families are often detected and analyzed using comparative methods based on multiple sequence alignments. Accordingly, a number of programs have been developed for aligning and deriving secondary structures from sets of RNA sequences. Yet, the best tools for these tasks remain unclear because existing benchmarks contain too few sequences belonging to only a small number of RNA families. RNAconTest (RNA consistency test) is a new benchmarking approach relying on the observation that secondary structure is often conserved across highly divergent RNA sequences from the same family. RNAconTest scores multiple sequence alignments based on the level of consistency among known secondary structures belonging to reference sequences in their output alignment. Similarly, consensus secondary structure predictions are scored according to their agreement with one or more known structures in a family. Comparing the performance of 10 popular alignment programs using RNAconTest revealed that DAFS, DECIPHER, LocARNA, and MAFFT created the most structurally consistent alignments. The best consensus secondary structure predictions were generated by DAFS and LocARNA (via RNAalifold). Many of the methods specific to noncoding RNAs exhibited poor scalability as the number or length of input sequences increased, and several programs displayed substantial declines in score as more sequences were aligned. Overall, RNAconTest provides a means of testing and improving tools for comparative RNA analysis, as well as highlighting the best available approaches. RNAconTest is available from the DECIPHER website (http://DECIPHER.codes/Downloads.html).
机译:在过去十年中,非编码RNA序列的重要性变得越来越清楚。使用基于多个序列比对的比较方法检测和分析新的RNA家族。因此,已经开发了许多程序,用于从RNA序列组对准和衍生二次结构。然而,这些任务的最佳工具仍然不明确,因为现有的基准含有少量少数RNA家庭的序列。 RNACONTEST(RNA一致性测试)是一种依赖于观察的新基准方法,即二次结构通常在来自同一家族的高度分歧的RNA序列中保守。 RNAContest基于属于其输出对准中的参考序列的已知次级结构之间的一致性程度来评定多个序列对齐。同样,根据其与家庭中的一个或多个已知结构的协议,根据其协议进行共识二次结构预测。使用RNACONTEST的10个流行对准程序的性能揭示了DAF,破译,洛迦和MAFFT在最具结构上形成的对准。 DAFS和Locarna(通过RNAalifold)产生的最佳共识二次结构预测。当输入序列的数量或长度增加时,许多特定于非编码RNA的方法表现出差的可扩展性,并且随着更多序列对齐的分数的几个节目显示出大量下降。总体而言,RNAContest提供了一种测试和改进对比RNA分析的工具,以及突出最佳可用方法。 RNAContest可从破译网站(http://decipher.codes/downloads.html)获得。

著录项

  • 期刊名称 RNA
  • 作者

    Erik S. Wright;

  • 作者单位
  • 年(卷),期 2020(26),5
  • 年度 2020
  • 页码 531–540
  • 总页数 10
  • 原文格式 PDF
  • 正文语种
  • 中图分类 分子生物学 ;
  • 关键词

    机译:多序列对齐;二级结构预测;基准;非致RNA;共有二次结构;

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