多序列比对问题是NP完全问题，研究快而精确的算法是一个巨大的挑战。
Sequence alignment is a NP Complete problem and a great challenge to any quick and accurate algorithms.
多序列比对问题是一个NPC问题，由于时间和空间的限制不能够求出精确解。
As multiple sequence alignment problem is an NPC problem, so its optimum solution cannot be obtained because of the time and space limits.
多序列比对(msa)是一个典型的NP完全问题，星比对是一种有效的多序列比对算法。
Multiple Sequence alignment (MSA) is a typical NP-Complete problem. Star alignment is an effective algorithm for MSA.
本文将蚁群算法引入序列比对，并对基于蚁群算法的双序列比对和多序列比对进行了研究。
This thesis mainly focuses on the study of double sequence alignment and multiple sequence alignment based on ant colony algorithm.
为对真核基因的选择性剪接形式进行准确、快速、有效的研究，提出了一种启发式多序列比对算法。
A heuristic algorithm for multiple alignment was developed to more effectively study alternative splicing patterns of eukaryotic genes.
经测试MS A -GSA算法精度有大幅提高，证明该算法在解决多序列比对问题上是行之有效的。
The test result shows that the accuracy of MSA-GSA has improved and the algorithm is effective in multiple sequence alignment.
本文主要对适用于生物序列数据上的后缀树索引技术和生物信息学中的多序列比对算法进行了分析和研究。
This thesis mainly focuses on the study of suffix tree index technical dealing with bio-sequences and multiple sequences alignment problem in bioinformatics.
多序列比对是一种重要的生物信息学工具，在生物的进化分析以及蛋白质的结构预测方面有著重要的应用。
Multiple sequence alignment is one of the essential tools of studying bioinformatics and it plays an important role in the evolution analysis and protein structure prediction.
多序列比对是目前生物信息领域研究的重要课题之一，在基因识别、蛋白质结构预测等领域有着广泛的应用。
Nowadays, Multiple Sequence Alignment is an important topic in Biology information industry, which has wide range of applications in area of Gene Identification, Structure Prediction, etc.
该算法先用渐进方法进行多序列比对，然后通过迭代策略，利用上一轮多序列比对结果修正指导树，产生新一轮比对。
An appropriate selection of basis function directly in?uences the learning performance of a policy iteration method during the value function approximation.
虽然以往的免疫算法有许多优良的计算特性，但在DNA多序列比对(MSA)中已知的免疫算法模型仍有许多不足。
Despite immune system has many perfect calculation properties, the known immune algorithm models exist many bugs to be used to DNA multiple sequence alignment.
实验结果证明：AGAMSA和QEAMSA都是有效的多序列比对方法，更适合于比对含有孤儿的比对序列和包含N/C末端的比对序列。
The result of testing shows that AGAMSA and QEAMSA are both valid aligning methods, and adapt to alignment sequences including orphan sequence and sequence included N/C terminal extensions.
实验结果证明：AGAMSA和QEAMSA都是有效的多序列比对方法，更适合于比对含有孤儿的比对序列和包含N/C末端的比对序列。
The result of testing shows that AGAMSA and QEAMSA are both valid aligning methods, and adapt to alignment sequences including orphan sequence and sequence included N/C terminal extensions.
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