Madden T L, Tatusov R L, Zhang J
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA.
Methods Enzymol. 1996;266:131-41. doi: 10.1016/s0076-6879(96)66011-x.
The sequence databases continue to grow at an extraordinary rate. Contributions come from both small laboratories and large-scale projects, such as the Merck EST project. This growth has placed new demands on computational sequence comparison tools such as BLAST. Even now it is no longer practical to evaluate some BLAST reports manually; it is necessary to filter the output by, for example, organism, source, or degree of annotation. The new network BLAST service makes such tools possible. It is also possible to present BLAST output in different formats, such as BLANCE. Perhaps most important of all, it becomes simple to call BLAST from another application, making it one step within an integrated system. This makes the automated preparation of sequence evaluations that include BLAST runs possible. In the near future we expect to see a number of applications that use the network BLAST interface to help molecular biologists search against a database that is growing not only in size but in biological richness.
序列数据库正以惊人的速度持续增长。贡献来自小型实验室和大型项目,比如默克EST项目。这种增长对诸如BLAST之类的计算序列比较工具提出了新的要求。即便在现在,手动评估某些BLAST报告也不再可行;有必要按生物体、来源或注释程度等对输出结果进行筛选。新的网络BLAST服务使此类工具成为可能。也能够以不同格式呈现BLAST输出结果,比如BLANCE格式。或许最为重要的是,从另一个应用程序调用BLAST变得简单,使其成为集成系统中的一个步骤。这使得包含BLAST运行的序列评估的自动化准备成为可能。在不久的将来,我们有望看到许多使用网络BLAST接口的应用程序,以帮助分子生物学家在一个不仅规模不断扩大而且生物学丰富度不断增加的数据库中进行搜索。