Multiple Sequence alignment (MSA) is a typical NP-Complete problem. Star alignment is an effective algorithm for MSA.
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。
The test result shows that the accuracy of MSA-GSA has improved and the algorithm is effective in multiple sequence alignment.
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。
This thesis mainly focuses on the study of double sequence alignment and multiple sequence alignment based on ant colony algorithm.
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。
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。
Despite immune system has many perfect calculation properties, the known immune algorithm models exist many bugs to be used to DNA multiple sequence alignment.
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。
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。
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.
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。
Multiple Sequence Alignment (MSA)has great importance in the field of Bioinformatics, MSA is a typical NP-Complete problem, and genetic algorithms (GAs )is the perfect method for solving NP-Complete.
多序列联配（MSA）在生物信息学研究中占有重要地位，MSA问题是一个典型的NP问题，遗传算法是求解NP完全问题的一种理想方法。
Sequence of SLA-DOB1 was cloned that was high homology with the other species by multiple sequences alignment and phylogeny evolution analysis.
通过序列同源比对及系统发育进化分析，发现克隆到的序列与其它物种DOB基因具有很高的同源性。
Sequence of SLA-DOB1 was cloned that was high homology with the other species by multiple sequences alignment and phylogeny evolution analysis.
通过序列同源比对及系统发育进化分析，发现克隆到的序列与其它物种DOB基因具有很高的同源性。
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