In this paper a backtrack algorithm for predicting RNA secondary structure is described.
本文讨论了一个预测rna二级结构的回溯算法。
One of the most important research areas in bioinformatics is RNA secondary structure prediction.
RNA二级结构预测问题是生物信息学的一个研究重点。
RNA secondary structure prediction is one of the most important fields in computational molecular biology.
RNA二级结构预测是计算分子生物学中的一个重要领域。
GOBASE is a relational database containing integrated sequence, RNA secondary structure and biochemical and taxonomic information about organelles.
GOBASE是包含了关于细胞器的整合序列、RNA二级结构及生物化学和分类学信息的一个关系数据库。
The methods for RNA secondary structure prediction can be divided into two categories which are the methods based on thermodynamics and phylogenetics.
RNA二级结构预测方法可以分为基于热力学的预测方法和基于系统发生学的预测方法两大类。
A combinatorial strategy of subsequences and the intrinsic characteristics of RNA secondary structure are adopted to compute the structures of planar multi-pseudoknots and a non-planar pseudoknot.
该算法采用子序列的组合策略和RNA二级结构的内在特性，计算多个平面伪结点和一个非平面伪结点结构。
A brief review of the thermodynamic and kinetic properties of RNA folding is presented, with special mention of the secondary structure folding.
文章对RNA分子折叠(特别是二级结构的折叠)的热力学和动力学性质作一简单回顾与介绍。
Secondary structure in RNA targets is a significant barrier to short DNA probes.
二级结构的RNA的目标是一个重大障碍短期DNA探针。
In some considerable extent, the secondary structure of RNA can be reduced into linear sequences.
在一定程度上，RNA二级结构经过处理后都可以转化为线性序列。
In some considerable extent, the secondary structure of RNA can be reduced into linear sequences.
在一定程度上，RNA二级结构经过处理后都可以转化为线性序列。
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