DISSEMINATED BREAST CANCER INFORMATION RESOURCE

传播性乳腺癌信息资源

• 批准号: 2114398
• 负责人: David Andrew Wheeler
• 金额: $ 7.4万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-30 至 1997-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2114398
• 关键词: biomedical resource; breast neoplasms; cancer information system; computer network; information dissemination; neoplasm /cancer education; neoplasm /cancer genetics

DESCRIPTION: (Applicant's Abstract) The overall problem this proposal addresses is the rapid expansion of scientific literature which has made it impossible for biomedical research scientists to keep up with relevant research in their area of interest. We have been working on one such solution to this problem: structured databases of complex biomedical research data made available to the research community in forms which are both powerful and easy to use. Use of such databases will provide access to biomedical research results in a way much more efficient than browsing the conventional paper literature. This proposal addresses the application of this highly successful approach to the field of breast cancer. The present proposal is closely related to one of our efforts: the development of a relational database of Tumor Gene Information and the dissemination of this data as a searchable text file report via gopher. Support for extending this model to breast cancer will be applied to the problem of breast cancer as follows. First, more powerful tools will be developed for accessing this data. Initially, a World Wide Web-based front end to the relational form of the database will be generated. Because of the demonstrated demand for the information contained in the Tumor Gene database, tools made available will be used and their utility can be assessed.

描述：（申请人的摘要）该提议的总体问题 解决的问题是科学文献的迅速膨胀， 使得生物医学研究科学家无法跟上 在他们感兴趣的领域进行相关研究。 我们一直 致力于解决这个问题的一个这样的解决方案： 为研究提供了复杂的生物医学研究数据 社区以既强大又易于使用的形式。使用 这些数据库将提供获取生物医学研究成果的途径， 一种比浏览传统报纸更有效的方式 文学该建议解决了这一高度 乳腺癌的治疗方法本 这项建议与我们的一项工作密切相关： 建立肿瘤基因信息关系数据库， 将这些数据作为可搜索的文本文件报告传播， 通过地鼠。支持将这一模式扩展到乳腺癌， 乳腺癌的治疗方法有哪些 一是更加 将开发强大的工具来获取这些数据。起初， 一个基于万维网的前端， 将生成数据库。由于已表明的对 肿瘤基因数据库中包含的信息， 将被使用，并可以评估其效用。