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

第二届计算网络生物学研讨会：建模，分析和控制（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）一起举行，这将是ACM-BCB 2014主办的第一届CNB-MAC研讨会的延续。 该研讨会将吸引来自工程，计算机科学，统计学，生物学和化学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，以获得大数据时代计算生物学中生物学知识的准确和可重复的结果。 CNB-MAC 2015将同时提供一个主题演讲和教程沿着这一方向，为参与研究生和博士后研究人员提供未来的研究方向。该研讨会的重要任务之一是促进下一代科学家，特别是妇女和少数民族科学家在计算网络生物学方面的教育和发展。 CNB-MAC 2015将提供旅行奖励，以鼓励研究生参加并提交论文。特别是，20-30%的奖金将分配给鼓励女性和少数民族学生。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 2015的主要重点将是研究生物网络的严格数学或计算方法，分析大规模OMICS数据，并研究人类-微生物组-环境相互作用的数学模型。 作为对ACM-BCB 2015和其他研讨会中大数据的信息学工具和学习算法的补充，CNB-MAC 2015旨在提供一个协同科学论坛，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.