提出一种基于光流特征与序列比对的行为识别算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出了一种基于马尔科夫随机场的双序列比对算法。
A novel markov pairwise protein sequence alignment method was proposed in this thesis.
提出了一套基于光流特征和序列比对的行为识别算法。
Propose an action recognition algorithm based on optical-flow feature and Sequence Alignment.
全局序列比对尝试找到两个完整的序列s1和S2之间的最佳比对。
Global sequence alignment tries to find the best alignment between an entire sequence S1 and another entire sequence S2. Consider these two DNA sequences.
在本文的第一章，首先介绍了序列比对方法和得分方案。
In the chapter 1 of this article, we first introduce the methods of the sequences alignment and scoring schemes.
【方法】 使用序列比对的方法分析同源性及保守结构域。
This work focused on the protein particularly. [Methods] Sequence alignment was performed.
这种状况造成了生物序列比对、模式发现等数据处理的低效率。
This state makes the low efficiency when biological sequence data are processed.
数据库相似性搜索是基于序列比对方法，也被用在成对序列比较中。
Database similarity search is based upon sequence alignment methods also used in pairwise sequence comparison.
剪接比对指的是在比对过程中考虑不同选择性剪接方式的序列比对方法。
Spliced alignment is a sequence alignment method which considers the different alternative splicing forms during alignment.
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.
序列比对是生物信息学中最常见的问题之一，也是一种重要的生物信息处理技术。
A Study on the Technology of Information Processing in Optoelectronic Imaging System for Biology;
生物序列分析的主要研究内容包括序列比对、蛋白质结构预测、基因组序列分析等。
The biological sequence analysis research content mainly includes the sequence alignment, the protein structure prediction, and the genome sequence analysis etc.
对该特异性片段进行蛋白质序列比对，未发现与其于已知功能小麦片段有较高同源性。
The BLASTx analysis indicates that there are no wheat DNA fragments showing high homologous with the specific fragment.
和原先的方法不同，我们的方法不依赖于序列比对，并因此对高度分化的基因组特别适用。
Different from previous methods, our method does not depend on sequence alignments, and thus is particularly suitable for highly divergent genomes.
图6野生型与株突变体氨基酸序列比对蓝色直线和方框-碱性-螺旋-环-螺旋结构域；
Fig. 6. Comparison of the amino acid sequences between wild type and OsbHLH116 mutants. Blue lines and boxes denote basic-helix-loop-helix domain;
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.
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.
在第一章，介绍了序列比较常用的两种方法，一是序列比对算法，二是基于矩阵不变量方法。
In the first chapter, we introduce two methods of sequences comparison, one is the alignment, and the other is the method of the matrix invariant.
在FPGA上实现大规模脉动式阵列对双序列比对算法进行加速能够大幅度提高比对的效率。
Implementing large scale of systolic array in FPGA to accelerate pare-wise alignment can improve the efficiency of alignment remarkably.
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.
结合前面的序列比对得出结论，DAG基序突变为DTG能使病毒的蚜传活性大大降低，甚至丧失。
The mutation from DAG to DTG resulted in low transmission efficiency, even loss of the transmission ability by aphid.
证明了基于并行计算的线性空间算法的在进行长序列比对时，时间复杂性优于经典的线性空间算法。
It testified that linear space algorithm based on parallel computing is superior to classical linear space algorithm in time complexity.
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.
序列比对算法是生物信息学中重要的研究方向之一，而动态规划法是序列比对算法中最有效最基本的方法。
Sequence alignment algorithm is an important research direction in Bioinfor-matics. Dynamic programming is the most efficient and basic method in sequence alignment algorithm.
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.
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.
序列比对是生物信息学中的一项重要任务，通过序列比对可以发现生物序列中的功能、结构和进化的信息。
Sequence alignment is an important task in bioinformatics. We may discover functional, structural and evolutionary information in biological sequences by sequence comparing.
序列比对是生物信息学中的一项重要任务，通过序列比对可以发现生物序列中的功能、结构和进化的信息。
Sequence alignment is an important task in bioinformatics. We may discover functional, structural and evolutionary information in biological sequences by sequence comparing.
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