核酸和蛋白质序列数据库是生物学和医学研究的重要资源。
Nucleotide and protein sequence databases are major resources for biological and medical research.
应用KEGG序列数据库对该调控区进行顺式作用元件定位分析。
The positions of the cis acting elements from NGAL gene 5′ nontranscribed region were searched by using KEGG/MOTIF database.
程序会把核苷酸或者蛋白质的序列与序列数据库相比较，并计算符合的统计学意义。
The program compares nucleotide or protein sequences to sequence databases and calculates the statistical significance of matches.
BlastX是用于比较DNA序列和蛋白质序列数据库的概念性转换的。
BlastX is used to compare the conceptual translations of a DNA sequence against a protein sequence database.
序列模式挖掘就是发现序列数据库中的频繁子序列作为用户感兴趣的模式。
Sequential pattern mining, which discovers frequent subsequences as interesting patterns in a sequence database.
通过SEQUEST软件进行蛋白质序列数据库搜索得到了准确的鉴定结果。
Applying the uninterpreted CID spectra of the protein digest to searching in sequence database by the SEQUEST program could identify proteins conveniently and rapidly.
时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
挖掘事务数据库、时间序列数据库中的频繁模式已经成为数据挖掘中很受关注的研究方向。
Mining frequent patterns in transaction databases, time series databases, and many other kinds of databases has been studied popularly in data mining research.
HOVERGEN是脊椎动物同源基因数据库基因，由acnuc序列数据库管理系统构建。
HOVERGEN is a database of homologous vertebrate genes, structured under ACNUC sequence database management system.
数据挖掘领域的一个活跃分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
该问题可描述为给定某个的时间序列，要求从一个大型时间序列数据库中找出与之最相似的序列。
The problem can be described as: searching the sequence most similar to a given time series from a large time series database.
随着生物序列数据库中序列数据的激增，开发出能够进行大规模运算的并行算法就显得非常迫切。
Because sequence data increase rapidly in biology sequence database, it is very exigent to develop algorithms that have high efficiency.
数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub-sequences in a sequence database.
该方法通过挖掘不断膨胀的所有生物、特别是人类的蛋白质序列数据库，以高通量的方式在计算机上进行。
The process is carried out computationally in a high throughput manner by mining the ever-expanding databases of protein sequences of all organisms, especially human.
摘要：数据挖掘领域一个活跃的研究分支就是序列模式的发现，即在序列数据库中找出所有的频繁子序列。
Absrtact: An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub - sequences in a sequence database.
本章总结了核酸序列数据库资源，提供了如何提交序列到数据库的信息，并解释了如何访问这些序列数据。
This chapter summarizes the nucleotide sequence database resources, provides information on how to submit sequences to the databases, and explains how to access the sequence data.
当前，至少80%的主要蛋白质序列数据库能够使用这些工具进行分类，因此提供了大量数据开始分析蛋白质域结构。
Currently at least 80% of the main protein sequence databases can be classified using these tools, thus providing a large data set to work from for analyzing protein domain architectures.
方法利用聚合酶链反应（PCR）产物直接测序，对10例血液标本进行了HLA-DPB1、DRB外显子2的序列分析，并将测定结果与基因型核酸序列数据库进行比较。
Methods Sequences of HLA-DPB1, DRB exon2 of 10 samples were analysed by direct sequencing of PCR products. The results of sequencing were compared with their corresponding sequence data.
本例中的数据库只包含一个表来存储测试序列，因为转换引用信息被嵌入到php脚本中。
The database in this example contains only one table to store the test sequence, because the conversion reference information is embedded in the PHP script.
序列是一个数据库对象，它生成一系列惟一的数字。
A sequence is a database object that generates a sequence of unique Numbers.
因此，如果您依赖于数据库序列(如自动主键生成)，很有可能在一个数据库集中将出现同一个主键。
As a result, if you rely on database sequences (such as for automatic primary key generation), it's likely that an identical primary key will show up across a set of databases.
应用程序使用带有表标识或数据库序列密钥生成器的实体。
The application USES entities with table identity or database sequence key generation.
可以按照相同的步骤对表、表空间、别名和序列等其他数据库对象应用筛选器。
You can use these same steps to apply filters on other database objects such as tables, table Spaces, aliases, and sequences.
该连接器能够以并行或序列模式处理分区数据库。
The connector can work with partitioned databases in parallel or sequential mode.
清单2还包含作为一个blob存储在数据库中的测试序列命令的说明。
Listing 2 also contains a description of the test sequence commands stored in the database as a blob.
在这方面有多种改进方法，从数据库序列到像Hibernate 这样的框架都可以，Hibernate 框架用于相当得体地处理ID。
Myriad steps could be taken to improve this aspect, from database sequences to a framework like Hibernate, which handles IDs quite elegantly.
序列CURRVAL和NEXTVAL关键词被直接映射到DB 2数据库产品。
Sequences CURRVAL and NEXTVAL keywords are mapped directly to DB2 database product.
这个id的值可以由应用程序指定或由数据库序列生成。
The value of this identity can be specified by the application or generated by a database sequence.
Hi值直接取自数据库序列的下一个可用值。
The Hi value comes directly from the database sequence's next available value.
数据库序列的增量应该设置为increment_size参数值。
Your database sequence should increment by the increment_size parameter value.
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