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Digital reviews in molecular biology: approaches to structured digital publication.

机译：分子生物学中的数字评论：结构化数字出版物的方法。

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MOTIVATION: It is widely appreciated that it is no longer possible for biomedical research scientists to keep up with as much of what is published in their field as they ought. One solution to this problem is to increase the efficiency of information use by moving away from the classical browsing model for scientific information dissemination towards an information on demand model which would allow researchers to access information quickly and efficiently only as they need it. The most common approach to this goal has been to use information retrieval technology to improve access to text databases of biomedical information. We are interested in exploring an alternative; encoding this information for storage in structured databases for efficient retrieval. RESULTS: Two small databases described here are test beds for development of structured digital publication software; the Tumor Gene Database, containing information about genes which are the sites for cancer-causing mutations, and the Mammary Transgene Database, containing information about expression of transgenes in agriculturally important animals. Both have been successfully searched by users and edited by curators via the World Wide Web.
机译：动机：人们普遍认识到，生物医学研究科学家们不再可能跟上他们应有的领域内发表的尽可能多的内容。解决此问题的一种方法是通过从用于科学信息传播的经典浏览模型转向按需信息模型，从而使研究人员仅在需要时才能快速有效地访问信息，从而提高信息使用效率。实现此目标的最常用方法是使用信息检索技术来改善对生物医学信息文本数据库的访问。我们有兴趣探索替代方案;将此信息编码以存储在结构化数据库中，以进行有效检索。结果：这里描述的两个小型数据库是用于开发结构化数字出版软件的试验台;肿瘤基因数据库包含有关致癌突变位点的基因的信息，而乳腺转基因数据库则包含有关农业重要动物中转基因表达的信息。两者均已被用户成功搜索并由策展人通过万维网进行编辑。

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