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Comparing RNA secondary structures using a relaxed base-pair score

机译:使用宽松的碱基对评分比较RNA二级结构

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The use of free energy-based algorithms to compute RNA secondary structures produces, in general, large numbers of foldings. Recent research has addressed the problem of grouping structures into a small number of clusters and computing a representative folding for each cluster. At the heart of this problem is the need to compute a quantity that measures the difference between pairs of foldings. We introduce a new concept, the relaxed base-pair (RBP) score, designed to give a more biologically realistic measure of the difference between structures than the base-pair (BP) metric, which simply counts the number of base pairs in one structure but not the other. The degree of relaxation is determined by a single relaxation parameter, t. When t = 0, (no relaxation) our method is the same as the BP metric. At the other extreme, a very large value of t will give a distance of 0 for identical structures and 1 for structures that differ. Scores can be recomputed with different values of t, at virtually no extra computation cost, to yield satisfactory results. Our results indicate that relaxed measures give more stable and more meaningful clusters than the BP metric. We also use the RBP score to compute representative foldings for each cluster.
机译:通常,使用基于自由能的算法来计算RNA二级结构会产生大量折叠。最近的研究已经解决了将结构分组为少量簇并为每个簇计算代表性折叠的问题。这个问题的核心是需要计算一个量度,该量度成对的折叠之间的差异。我们引入了一个新概念,即松弛碱基对(RBP)分数,该分数比碱基对(BP)度量标准(仅计算一个结构中碱基对的数量)提供了更加生物学上真实的结构差异度量。但其他人没有。松弛程度由单个松弛参数t确定。当t = 0时(无松弛),我们的方法与BP度量相同。在另一个极端,对于相同的结构,非常大的t值将使距离为0,对于不同的结构将为1。可以用不同的t值重新计算分数,而实际上没有额外的计算成本,从而可以得出令人满意的结果。我们的结果表明,与BP度量相比,宽松的度量提供了更稳定和更有意义的集群。我们还使用RBP分数来计算每个聚类的代表性折叠。

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