Network Biology

计算分子生物学在过去的二十年中取得了巨大的发展，到目前为止已经成为一门成熟的学科，为人们提供了许多关于疾病机制和活细胞功能的见解。网络生物学的目标是了解影响所有活动和疾病的细胞组件之间的相互作用网络。只有了解这些相互作用(基因、蛋白质、RNA、复合体和其他分子之间的相互作用)，才能实现对生物功能、动态和发育的更高水平的理解。此外，蜂窝网络提供了解释其他高通量异质测量(例如，表达水平、突变、化学修饰等)的整体框架。这些数据是跨有机体、个体、细胞类型和条件收集的，并且越来越多地在单个细胞水平上收集。预计这次研讨会将加强对网络生物学感兴趣的生物学家、医学科学家、计算机科学家和数学家之间的交流。这次研讨会将汇集一批专注于推断和分析细胞网络的不同科学家，使用广泛的技术，包括湿实验室实验、图形算法、组合优化、机器学习和统计学。通过接触和注入新问题，这项活动对理论计算机科学和计算生物学家都有很大的好处，计算生物学家将接触到最新的理论发展。

Computational molecular biology has developed dramatically over the last two decades, and is by now an established discipline providing many insights into the mechanisms of disease and the functioning of living cells. Network Biology aims to understand the web of interactions among cellular components, which affect all activities and disease. Only by understanding these interactions (among genes, proteins, RNAs, complexes and other molecules) can a higher level of understanding of organismal function, dynamics and development be achieved. Further, cellular networks provide a holistic framework within which to interpret other high-throughput heterogeneous measurements (e.g., expression levels, mutations, chemical modifications, etc.) that are being collected across organisms, individuals, cell types and conditions, and increasingly at the level of individual cells. It is expected that this workshop will enhance communication among biologists, medical scientists, computer scientists and mathematicians interested in network biology.This workshop will bring together a diverse set of scientists focused on inferring and analyzing cellular networks, using a wide range of techniques including wet-lab experiments, graph algorithms, combinatorial optimization, machine learning and statistics. This activity can be of great benefit both to theoretical computer science, via the exposure to and infusion of new problems, and to computational biologists, who will be exposed to state of the art theoretical developments.