International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2015)

第二届计算网络生物学：建模、分析和控制研讨会(CNB-MAC 2015)将与第六届ACM生物信息学、计算生物学和健康信息学国际会议(ACM-BCB 2015)同时举行，这将是由ACM-BCB 2014主办的第一届CNB-MAC研讨会的延续。研讨会将吸引来自工程、计算机科学、统计学、生物学和化学等多个学科的研究人员。与ACM-BCB 2015的合作将有助于提高人们对严格数学建模的重要性的认识，以便在大数据时代的计算生物学中获得准确和可重复的结果。CNB-MAC 2015将沿着这一方向提供主题演讲和教程，为参与的研究生和博士后研究人员提供未来的研究方向。讲习班的重要使命之一是促进下一代科学家，特别是妇女和少数民族在计算网络生物学方面的教育和发展。CNB-MAC 2015将提供旅游奖励，鼓励研究生参与并提交论文。具体来说，20%-30%的奖项将分配给鼓励女性和少数族裔学生。下一代高通量剖析技术使对生命系统的更系统和更全面的研究成为可能。网络模型在理解支配生物系统的复杂相互作用以及它们与外部环境的相互作用方面起着至关重要的作用。CNB-MAC 2015的主要重点将是在研究生物网络、分析大规模OMICS数据以及研究人类-微生物-环境相互作用的数学模型方面采用严格的数学或计算方法。作为ACM-BCB 2015和其他研讨会对大数据的信息学工具和学习算法的关注的补充，CNB-MAC 2015旨在提供一个协同科学论坛，用于展示计算网络生物学的最新进展，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数据的系统分析。

The 2nd Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2015) will be held in conjunction with the 6th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB 2015), which will be a continuation of the first CNB-MAC workshop, hosted by ACM-BCB 2014. The workshop will attract researchers from multiple disciplines of engineering, computer science, statistics, biology, and chemistry. The partnership with ACM-BCB 2015 will help increase the awareness of the importance of rigorous mathematical modeling for accurate and reproducible results on deriving biology knowledge in computational biology in the big data era. CNB-MAC 2015 will offer both a keynote presentation and a tutorial along this direction to provide future research directions for participating graduate students and post-doctoral researchers. One of the important missions of the workshop is to foster education and development of the next-generation scientists, especially women and minority, in computational network biology. CNB-MAC 2015 will provide travel awards to encourage graduate students to participate and submit papers. Specifically, 20-30% of the awards will be allocated to encourage women and minority students.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 external environment. The main emphasis of CNB-MAC 2015 will be on rigorous mathematical or computational approaches in studying biological networks, analyzing large-scale OMICS data, and investigating mathematical models for human-microbiome-environment interactions. Complementary to the focus on informatics tools and learning algorithms for big data in ACM-BCB 2015 and other workshops, CNB-MAC 2015 aims to provide a synergistic scientific forum for presenting recent advances in computational network biology that involve modeling, analysis, and control of biological systems under different conditions, and systematic analysis of large-scale OMICS data.