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

第四届计算网络生物学：建模、分析和控制国际研讨会（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）一起组织。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、生物学和医学等各个学科的研究人员。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，并提高人们对严格的数学建模在将大生物医学数据转化为可重复和有意义的科学知识方面的重要性的认识。CNB-MAC最重要的任务之一是在新兴的计算网络生物学领域培养下一代科学家。研讨会旨在为参与的研究生和博士后，特别是女性和少数民族的研究人员提供主题演讲、指导和研究报告，为未来的研究方向提供建议。CNB-MAC 2017将提供旅行奖励，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，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得对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有效的计算方法，大规模组学数据的综合分析，开发人类-微生物组-环境相互作用研究的数学模型，以及与计算网络生物学相关的其他主题。与ACM-BCB 2017对大生物医学数据的信息学工具和学习算法的关注相补充，CNB-MAC的主要重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，以及大规模组学数据的系统导向分析，目标是提供一个动态的国际科学论坛，展示该领域的最新进展。

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.