HICSS-27 MINITRACK ON GENOME INFORMATICS

认识到计算机科学在生物学中日益重要， HICSS第二年将整个赛道致力于解决 生物技术计算：软件研究、计算机应用 与生物问题有关的开发和机器人技术。这条赛道 在五个迷你机架中展示了这项研究的前沿，每个机架 专注于一个快速发展的研究领域。这条赛道由三个部分组成 全天的技术会议，外加一系列高级研讨会 和教程。每条迷你轨道要么是半天，要么是全天 专门讨论《公约》范围内的特定主题的技术会议 赛道。 基因组学中数据和知识库问题的迷你轨道是一天 由论文演示和讨论组成的研讨会， 将汇聚生物学家和计算机科学家 基因组数据管理和检索。这条迷你赛道还将包括 小组讨论部分，信息学研究人员在其中评估 基因组计划的重要性和提出的研究机会 其中之一。特别是，参与者将试图确定一个小规模的 基因组数据管理中最紧迫的一组问题和关于几个问题的辩论 建议的解决方案。 迷你轨道的重点包括但不限于以下内容： 1.设计和使用基因组测绘和测序数据库 2.基因组数据库之间的互换和互操作性 3.基因组数据建模的面向对象和演绎方法 4.将基因组数据库与知识库相结合 5.知识工程--序列分析方法 6.将文本和图像整合到数据库和知识库中 7.基因组数据和知识库的用户界面

In recognition of the growing importance of computer science in biology, HICSS is for the second year devoting an entire track to issues in Biotechnology Computing: software research, computer application development and robotics related to biological problems. This track presents the leading edge of this research in five minitracks, each focused on a rapidly evolving research area. This track consists of three full days of technical sessions, coupled with a set of advanced seminars and tutorials. Each minitrack is either a half day or a full day of technical sessions devoted to a particular topic within the scope of the track. The minitrack for Data and Knowledge Base Issues in Genomics is a one day workshop consisting of paper presentations and discussion sessions that will bring together biologists and computer scientists interested in genome data management and retrieval. This mini-track will also include a panel discussion section in which informatics researchers assess the gravity of genome projects and the research opportunities presented thereof. In particular, the participants will attempt to identify a small set of most urgent problems in genome data management and debate on a few proposed solutions. The focus of the minitrack includes, but is not limited to, the following: 1. design and use of databases for genome mapping and sequencing 2. interchange and interoperability between genome databases 3. object-oriented and deductive approaches to genome data modeling 4. integrating genome databases with knowledge bases 5. knowledge engineering-for sequence analysis methods 6. integrating texts and images in data and knowledge bases 7. user interfaces for genome data and knowledge bases