III: ACM BCB 2015: Conference on Bioinformatics, Computational Biology, and Health Informatics

III：ACM BCB 2015：生物信息学、计算生物学和健康信息学会议

• 批准号: 1543897
• 负责人: Dongmei Wang
• 金额: $ 2.48万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1543897&HistoricalAwards=false
• 关键词: III; ACM; BCB; 2015; Conference

Research in the biological and health sciences has been characterized by the introduction of novel technologies for investigations of molecular machineries, where a huge amount of data coming from experiments or medical practice has been stored in novel databases; new algorithms for studying functions, structures, interactions of proteins and genes, and classification of patients into disease subgroups that shares a common biological basis of diseases have been introduced; and almost all "omics" areas have been touched by new data sources with large repositories, new computational tools and applications powered by new algorithms. The ACM Special Interest Group on Bioinformatics, Computational Biology, and Health Informatics (SIGBio; http://www.sigbioinformatics.org/) was instituted in 2010 with the aim of focusing on research on bioinformatics data management topics, with a focus on bridging computational, statistical and mathematical sciences with biology and biomedicine. The ACM-Bioinformatics and Computational Biology meeting will provide a platform for researchers to bridge interdisciplinary research and also provide mechanisms to promote diverse and broad participation, especially through travel support for graduate students and young investigators.

生物学和健康科学的研究的特征是引入了新型技术来研究分子机器，在这些技术中，来自实验或医学实践的大量数据存储在新的数据库中；研究了用于研究功能，结构，蛋白质和基因相互作用的新算法，以及将患者分类为疾病亚组，这些算法已引入共有疾病的常见生物学基础；几乎所有的“ OMIC”领域都被新的数据源带来了大型存储库，新算法供电的新计算工具和应用程序。 ACM生物信息学，计算生物学和健康信息学的特殊兴趣小组（Sigbio; http://www.sigbioinformatics.org/）于2010年成立，目的是专注于生物信息学数据管理主题的研究，重点介绍了Briding Computational Computational Biotication and Statisticational satistications，Scipination和Mathication和数学学的研究。 ACM生物信息学和计算生物学会议将为研究人员提供一个平台，以弥合跨学科研究，还提供了促进多样化和广泛参与的机制，尤其是通过为研究生和年轻研究人员提供的旅行支持。