Rzhetsky Andrey, Iossifov Ivan, Koike Tomohiro, Krauthammer Michael, Kra Pauline, Morris Mitzi, Yu Hong, Duboué Pablo Ariel, Weng Wubin, Wilbur W John, Hatzivassiloglou Vasileios, Friedman Carol
Columbia Genome Center, Columbia University, New York, NY 10032, USA.
J Biomed Inform. 2004 Feb;37(1):43-53. doi: 10.1016/j.jbi.2003.10.001.
The immense growth in the volume of research literature and experimental data in the field of molecular biology calls for efficient automatic methods to capture and store information. In recent years, several groups have worked on specific problems in this area, such as automated selection of articles pertinent to molecular biology, or automated extraction of information using natural-language processing, information visualization, and generation of specialized knowledge bases for molecular biology. GeneWays is an integrated system that combines several such subtasks. It analyzes interactions between molecular substances, drawing on multiple sources of information to infer a consensus view of molecular networks. GeneWays is designed as an open platform, allowing researchers to query, review, and critique stored information.
分子生物学领域研究文献和实验数据量的巨大增长,需要高效的自动方法来获取和存储信息。近年来,几个研究小组致力于该领域的特定问题,比如与分子生物学相关文章的自动筛选,或者利用自然语言处理、信息可视化以及为分子生物学生成专业知识库等方法来自动提取信息。GeneWays是一个整合了多个此类子任务的系统。它分析分子物质之间的相互作用,利用多种信息来源来推断分子网络的一致观点。GeneWays被设计成一个开放平台,允许研究人员查询、审查和评判所存储的信息。