Decision - making is a center of the enterprise running and management , a majority of working in enterprise management is relative to the decision - making . decision - making of venture capital is a complex development process of many serial and administrative levels 决策是企业经营管理的核心，企业管理中的大部分工作都与决策休戚相关，风险投资决策是一个多序列，多因素，多层次的复杂的动态过程。
5 . in biology field , clustal is one of the most popular multiple sequence alignment software . when large numbers of sequences are aligned at one time , the time complexity of clustal algorithm is very big and it is not suit for vast sequences Clustal程序是生物学界通用的多序列比对软件之一，随着同时进行比对的序列数据量的增加，其时间复杂度急剧增加，该程序无法满足大规模的序列数据比对。
In addition to having well established , manual synthesis techniques , gl biochem also invests in units of automated multiple peptide synthesizers to support customers in peptidomimetics studies and drug discovery for milligram scale of a large number of related peptides and peptidomimetics 公司除人工合成技术外,还采用自动多肽合成设备专门生产毫克级多序列品种的多肽产品以满足客户的研发需要，详细见
At first . then eight a - amylase gene fragments were cloned with the genomic dnas as templates by routine pcr . following that , these gene fragments and plasmid vectors , pbluescript ii ks + and puc18 , were cut by bamh i and kpn i . the prepared insert dna and vector dna were linked by t4 dna ligase 利用vectornti6 . 0软件，对所克隆的序列用相邻接点法( neighborjoining州j ） method ）进行多序列比对，分析其同源性，并构建基因进化树。
These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series 本文在分析时间序列特点和实际应用需求的基础上，针对时间序列的挖掘与相似性查找一些关键技术进行了研究，具体包括特征模式挖掘、多序列关联模式挖掘、相似性模式查找等方面，所做的工作和取得的创新成果体现在以下三个方面： 1 )时间序列特征模式挖掘研究首次提出了一种基于互关联后继树模型的时序特征模式挖掘方法。
To deal with the question that how we can guarantee the dna sequences which are stored in the personal dna database are anonymous , that no one can find out whom a special dna sequence is collected from , this paper get a new method ? savior , by improve dnala ( dna lattice anonymization ) , which is a method settling this question . savior replaces the multiple alignment in dnala with pairwise alignment between every tow sequences , and replaces the greedy algorithm in dnala with stochastic hill - climbing . for doing this , it can save the time for data pretreatment , and add the precision of classing 针对个人dna数据的隐私保护问题,即:如何保证无法将存储在数据库中的dna序列信息与其提供者的个人身份信息(如:姓名,身份证号码等)联系起来,本文对一种新近开发的隐私保护方法? dnala ( dnalatticeanonymization )进行了改进,在数据预处理阶段,用两两双序列比对代替了原算法中的多序列比对,在不降低处理精度的情况下减少了数据预处理所耗费的时间;用随机爬山法代替了原算法中的贪心策略,增加了算法后期处理的精度,从而形成了一种新的算法? savior 。
These researches will help us to discover changing or developing principle of things , support to decision - making , etc . the thesis addresses several key technical problems of pattern mining and its search based similarity in time series , which covers feature patterns and relationship patterns mining , pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis . major contributions of this thesis include : 1 . research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series 本文在分析时间序列特点和实际应用需求的基础上，针对时间序列的挖掘与相似性查找一些关键技术进行了研究，具体包括特征模式挖掘、多序列关联模式挖掘、相似性模式查找，在线相似性查找以及最终的分析应用系统开发等方面，所做的工作和取得的创新成果体现在以下五个方面： 1 )时间序列特征模式挖掘研究首次提出了一种基于互关联后继树模型的时序特征模式挖掘方法。
4 . because genetic algorithm obtains local optimal solution at times , an approach was advanced that incorporates simulated annealing into genetic algorithm to improve the performance of genetic algorithm . an annealing operation is added and can improve the convergence rate evidently in multiple sequence alignment 针对遗传算法容易陷入局部最优解的缺点，提出模拟退火算法与遗传算法相结合的思想，在遗传操作中加入退火操作，可明显提高多序列比对进化后期的收敛速度。
Finally , the ability of applying the approved aco algorithm to msa is studied . the idea of divide - and - conquer is adopted to improving the progressive algorithm and the longest common subsequence of multiple sequences is proposed as the partition points of multiple sequences . also , the paper presents how to solve the longest common subsequence of multiple sequences by the approved aco algorithm for mcp 最后,本文对改进的蚁群优化算法在多序列比对问题上的应用进行了研究,采取分治思想改进现有的progressive算法,提出利用最长公共子序列进行多序列分割的策略,并给出怎样利用解决最大团问题的蚁群优化算法求解多序列的最长公共子序列的方法。
