整个数据库的克隆件、专题及其子集都是可用的。
Copies of the whole database are available, as well as thematic and specialized subsets.
在源数据库上，可以恢复在克隆数据库上所做的备份。
A database backup taken on the clone database can be restored on the source database.
克隆db 2数据库对象的能力。
日志文件的路径只能包括在用于克隆数据库的分割镜像中。
The path to log files should only be included in the split mirror for clone database.
DB 2UD b数据库的分割镜像可以被初始化为源数据库的一个快照，实质上是源数据库的一个瞬时克隆。
A split mirror of a DB2 UDB database can be initialized as a snapshot of the source database, essentially an instantaneous clone of the source database.
表明根据物种间同源基因序列，对跨物种间EST数据库进行同源检索、筛选、拼接，是克隆基因的有效途径。
The results showed that it was an efficient technique to clone new genes by searching EST database with homologous gene of model species.
说明根据物种间同源基因序列，进行跨物种EST数据库的同源检索筛选、拼接，是基因克隆的一条有效途径。
The results show that it is a convenient technique for cloning new gene by searching EST database with homologous gene of model species such as fruit fly.
快照创建好以后，从页面右边的菜单栏选择通过快照创建克隆数据库。
When the snapshot is created, click on the menu icon on the right and choose create database clone to create a clone database from the snapshot.
克隆数据库传入和传出的短信息。
在数据库中，均未发现与LW20、LW22和LW24三个克隆相匹配的蛋白质序列，推测可能为新基因的一部分。
Three clones of LW20, LW22 and LW24 had unmatched protein sequences in database, they might be representative of one part of a unknown gene.
运用基于基因组数据库的特定基因同源新基因的克隆策略得到一个人类新基因WDR70，该基因编码一个包含12个WD 4 0结构域的蛋白。
A human novel gene WDR70 is obtained with the cloning strategy of novel homologous gene, which is a specific gene based on genome database. It encodes a protein of 12 WD40 domain.
在鸡的大规模cDNA克隆测序的背景下，利用ESY数据库比对，应用电子克隆技术来寻找鸡的末知新基因。
Based on sequence alignment in EST database, new chicken genes were looked for by in silico cloning.
电子克隆与其他发现全长基因的方法相比可以充分利用已有的数据库资源，避免大量的重复性劳动，节省时间和开支，加快新基因的发现。
Compared with other ways, this technology makes best use of existing database to avoid much of repetitive work, and saves time and expenditure, which makes it more rapid to find unknown genes.
电子克隆与其他发现全长基因的方法相比可以充分利用已有的数据库资源，避免大量的重复性劳动，节省时间和开支，加快新基因的发现。
Compared with other ways, this technology makes best use of existing database to avoid much of repetitive work, and saves time and expenditure, which makes it more rapid to find unknown genes.
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