International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2017)

计算网络生物学国际研讨会：建模、分析和控制 (CNB-MAC 2017)

• 批准号: 1743820
• 负责人: Ranadip Pal
• 金额: $ 1万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-15 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743820&HistoricalAwards=false
• 关键词: International; Workshop; Computational; Network; Biology

The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2017) will be held in Boston, MA, August 20, 2017. The workshop will be organized in conjunction with the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2017). CNB-MAC 2017 is a continuation of the first, second and third CNB-MAC workshops in 2014, 2015 and 2016. The continuing partnership with ACM-BCB will enhance the visibility of the workshop and attract researchers from various disciplines across engineering, computer science, statistics, biology, and medicine.CNB-MAC 2017 aims to provide an international scientific forum for presenting recent advances in computational network biology and boost the awareness of the importance of rigorous mathematical modeling in transforming big biomedical data into reproducible and meaningful scientific knowledge. One of the missions of CNB-MAC that is of foremost importance is to foster next-generation scientists in the emerging field of computational network biology. The workshop aims to offer keynote, tutorial, and research talks to provide future research directions for participating graduate students and post-doctoral researchers, especially women and minorities. CNB-MAC 2017 will provide travel awards to encourage graduate students to participate in the workshop and present their latest research findings. Specifically, the workshop plans to allocate a minimum of 20-30% of the awards to female and minority students to encourage their participation.Next-generation high-throughput profiling technologies have enabled more systematic and comprehensive studies of living systems. Network models play crucial roles in understanding the complex interactions that govern biological systems, and their interactions with the external environment. The main emphasis of CNB-MAC 2017 will be on rigorous mathematical models and efficient computational approaches for studying biological networks, integrative analysis of large-scale OMICS data, developing mathematical models for the investigation of human-microbiome-environment interactions, and other topics relevant to computational network biology. Complementary to the focus of ACM-BCB 2017 on informatics tools and learning algorithms for big biomedical data, CNB-MAC's main focus is on computational network biology that involves modeling, analysis, and control of biological systems under different conditions, and system-oriented analysis of large-scale OMICS data with the goal of providing a dynamic international scientific forum for presenting the latest advances in the field.

第四届计算网络生物学国际研讨会：建模，分析和控制（CNB-MAC 2017）将于2017年8月20日在马萨诸塞州波士顿举行。该研讨会将与第八届ACM生物信息学，计算生物学和健康信息学会议（ACM-BCB 2017）一起举办。CNB-MAC 2017是2014年，2015年和2016年第一，第二和第三届CNB-MAC研讨会的延续。与ACM-BCB的持续合作将提高研讨会的知名度，并吸引来自工程，计算机科学，统计学，生物学，和医药。CNB-MAC 2017旨在提供一个国际科学论坛，展示计算网络生物学的最新进展，并提高人们对严格数学建模在将大生物医学数据转化为可重复和可扩展的生物医学数据方面的重要性的认识。有意义的科学知识。CNB-MAC最重要的使命之一是培养计算网络生物学新兴领域的下一代科学家。该研讨会旨在提供主题演讲，辅导和研究讲座，为参与的研究生和博士后研究人员，特别是妇女和少数民族提供未来的研究方向。CNB-MAC 2017将提供旅行奖励，以鼓励研究生参加研讨会并展示他们的最新研究成果。具体而言，该研讨会计划将至少20-30%的奖金分配给女性和少数民族学生，以鼓励他们参与。下一代高通量分析技术使生命系统的研究更加系统和全面。 网络模型在理解控制生物系统的复杂相互作用及其与外部环境的相互作用方面发挥着至关重要的作用。 CNB-MAC 2017的主要重点将是研究生物网络的严格数学模型和高效计算方法，大规模OMICS数据的综合分析，开发用于调查人类-微生物组-环境相互作用的数学模型，以及与计算网络生物学相关的其他主题。作为对ACM-BCB 2017关于生物医学大数据的信息学工具和学习算法的关注的补充，CNB-MAC的主要关注点是计算网络生物学，涉及不同条件下生物系统的建模，分析和控制，以及大规模OMICS数据的面向系统的分析，目标是提供一个动态的国际科学论坛，以展示该领域的最新进展。