Gene Regulatory Networks for Development

项目摘要 基因调控网络(GRN)科学结合了各种规模的实验方法，从单基因到 基因组范围，以及计算建模方法，并结合了从 这些分析形成了一个框架，用于解释发育过程和动物之间的因果关系 进化论。扩大我们对GRN的了解已被确定为 美国国家儿童健康与人类发展研究所发育生物学分会。钥匙 这门关于GRN的短期课程的目的是帮助学生对 作为形成研究问题和假设的基础的发育控制机制， 并学习如何应用各种实验和计算方法来解决这些问题。学生们将 从本课程中了解如何获得系统级别的解释，以便为开发 在任何生物环境中使用各种实验和计算技术的过程。这将是 通过密集的一系列讲座、讨论和实践研讨会完成，使用 分析来自大量研究的大数据的计算方法，以构建 指导发展的基因网络的可理解模型。

Project Summary Gene regulatory network (GRN) science combines experimental approaches at any scale, from single gene to genome wide, together with computational modeling approaches and incorporates the insights gained from these analyses into a framework used to explain the causality of developmental processes and animal evolution. Expanding our understanding of GRNs has been identified as one of the research priorities of the Developmental Biology branch of the National Institute of Child Health and Human Development. The key objective of this short course on GRNs is to help students develop a conceptual understanding of developmental control mechanisms that serves as a basis to formulate research questions and hypotheses, and to learn how to apply diverse experimental and computational approaches to solve them. Students will take away from this course a sense for how systems level explanations can be obtained for developmental processes in any biological context using a variety of experimental and computational techniques. This will be accomplished through an intensive series of lectures, discussions, and hands-on workshops using computational methods to analyze big data from a large number of studies in order to construct comprehensible models for gene networks that guide development.