论文标题
结构化和半结构化生物信息学工具的绩效评估：比较研究
Performance Evaluation of Structured and Semi-Structured Bioinformatics Tools: A Comparative Study
论文作者
论文摘要
生物信息学专家开发的广泛可用的生物数据库，采用不同的方法提取生物学数据。在本文中，我们根据基于Web的接口有效访问生物信息学数据库的能力，研究和评估其中一些方法的性能。这些方法使用结构化和半结构化数据工具检索生物信息学信息，这些数据工具能够从远程数据库服务器中检索数据。这项研究区分了这些方法，并将这些工具对比。我们将序列检索系统（SRS）和Entrez搜索工具用于结构化数据，而Perl和Bioperl搜索程序用于半结构化数据，以检索复杂的查询，包括文本和数字信息的组合。研究得出的结论是，使用半结构化数据工具访问生物信息学数据库是结构化工具的可行替代方法，尽管每种方法都显示出具有某些固有的优势和缺点。
There is a wide range of available biological databases developed by bioinformatics experts, employing different methods to extract biological data. In this paper, we investigate and evaluate the performance of some of these methods in terms of their ability to efficiently access bioinformatics databases using web-based interfaces. These methods retrieve bioinformatics information using structured and semi-structured data tools, which are able to retrieve data from remote database servers. This study distinguishes each of these approaches and contrasts these tools. We used Sequence Retrieval System (SRS) and Entrez search tools for structured data, while Perl and BioPerl search programs were used for semi-structured data to retrieve complex queries including a combination of text and numeric information. The study concludes that the use of semi-structured data tools for accessing bioinformatics databases is a viable alternative to the structured tools, though each method is shown to have certain inherent advantages and disadvantages.
