基因相关生物医学文献挖掘研究

系统生物学研究产生的大量生物医学文献包含了丰富的生物学知识。生物医学文献挖掘能够利用海量文献资源，获取国际上生命科学最新研究成果。我们开发了基因相关文献挖掘网络平台，应用自然语言处理技术，集成了文献自动采集工具、句法分析器、Gene Ontology等最新的生物医学领域知识库，能够对文献进行深度挖掘，进行基因功能、基因与疾病关系、生物分子相互作用网络知识发现．辅助形成生物科学研究创新假设，挖掘准确率可达86％。

Gene Related Mining of Biomedical Literatures

Nowadays abundant biological knowledge is stored in online searchable biomedical literatures. To make sense of the large-scale literature sets, methods for automatically extracting biomedical facts from the scientific literatures are essential. Owing to the improvement of the Natural Language Processing technology and Gene Ontology, we developed a gene-related literature mining system to capture inherent biological knowledge occurring in published biomedical literatures. It＇s an eflfcient java-based web application which integrated with many biological tools, such as literature automatic acquiring application, parser, latest gene name database, Gene Ontology and so on. This system can digests biomedical hteratures at deep level, provide well organized information, make information discovery of gene func- tion, gene-disease relationships, biological molecular interaction network, and generate biological hypothesis. The average accuracy of extracting biological relationships by our system compared with by manual work can reach 86%.