Computational resources and systems biological analyses of deep sequencing data for improved

核心C项目负责人：沃尔，丹尼斯·P。 项目摘要/摘要 对MIR及其调控的研究已经导致了关于以下方面的令人印象深刻的生物信息学创新 算法设计、目标预测、进化趋同和发散等等。什么还没有 这项计划的独特之处在于，这些信息学进步与全面和 完整动物的综合功能分析。核心C，通过它与核心B和三个核心的互动 推动针对MIR对睡眠、联想学习和记忆的调节影响的生物项目， 神经肌肉系统将在模型生物体中提供这种创新，在那里神经回路可以 从行为到细胞和分子细节的多个层面进行了分析。具体来说，Core C将开发 存储和分析来自这四个部门的所有实验数据所需的信息学基础设施 中心建议，并通过互惠设计，使快速表征的功能影响 具体的MIR，以研究对目标网络的影响并确定功能融合的情况。 核心C将提供每个驱动项目所需的工具，以形成关于以下影响的假设 通过靶mRNAs中的microRNA识别元件(MRE)在基因网络上的特定miR，并帮助 指导最有可能揭示调控机制的新实验的设计 控制影响表型的基因。

Core C Project Leader: Wall, Dennis P. Project Summary / Abstract The study of miRs and their regulatory control has led to impressive bioinformatic innovations with respect to algorithm design, target prediction, evolutionary canalization and divergence, and much more. What has not happened and is unique to this plan is the combination of these informatics advances with comprehensive and integrated functional analysis in the intact animal. Core C, through its interactions with Core B and the three driving biological projects targeting regulatory influence of miRs on sleep, associative learning and memory, and the neuromuscular system will provide this innovation in a model organism where neural circuits can be analyzed at many levels from behavior to cellular and molecular details. Specifically, Core C will develop the informatics infrastructure necessary to store and analyze all experimental data coming from these 4 sectors of the center proposal and, through reciprocal design, enable fast characterization of the functional impacts of specific miRs to study the impact on target networks and to determine instances of functional convergence. Core C will deliver the tools necessary for each driving project to form hypotheses about the influence of specific miRs on gene networks through microRNA recognition elements (MREs) in target mRNAs, and help steer the design of new experiments that have the highest likelihood of revealing the mechanisms of regulatory control that impact phenotype.