BIOINFORMATICS CORE

拟议的生物信息学核心将通过提供 定制的实验室样本跟踪系统，高效快速的数据管道，量身定做的 项目管理系统，以及促进共享实验结果的门户网站。在……里面 此外，全球科学界将能够从 通过这个门户网站完成了数据库。用户的首要任务和主要利益将是定制编写的分析软件，以满足调查人员的具体需求。一个项目是开发一种细胞间蛋白质/肽预测器，预测前激素的切割；这有助于准确预测最终的酶产物。这个预测器将在编码长蛋白质前激素的遗传信息和人们观察到的产品之间提供有价值的联系。将开发NeuroProSightPTM，这是一种生物信息学工具，通过对绝对质量的“自上而下”分析，识别完整蛋白质中的PTM。自上而下的方法将使研究人员能够使用完整蛋白质的绝对质量来识别神经肽、细胞因子、激素和其他细胞间信号。此外，将编写生物信息学工具，使用一系列动物模型综合比较微阵列和蛋白质组实验的数据，以更好地了解转录组和蛋白质组之间的关系。总之，这些令人兴奋的生物信息学进展将创造新的工具，为研究大脑的细胞间信号蛋白提供新的方法--本质上是“开箱即用”的理论和实验。

The proposed Bioinformatics Core will work closely with the biological users by providing a customized laboratory sample tracking system, an efficient and quick data pipeline, a tailored project management system, and a web portal to facilitate sharing of experimental results. In addition, the worldwide scientific community will be able to search and download from the completed database through this web portal. A top priority and a major benefit to the users will be custom written analysis software to address the specific needs of the investigators. One project is the development of an intercellular protein / peptide predictor that predicts prohormone cleavage; this facilitates the accurate prediction of the final enzymatic products. This predictor will provide a valuable link between genetic information coding for the long protein prohormones and the products one observes. NeuroProSightPTM will be developed, which is a bioinformatics tool that identifies PTMs in intact proteins through a "top-down" analysis of absolute masses. The top-down approach will enable investigators to use absolute masses of intact proteins to identify neuropeptides, cytokines, hormones, and other intercellular signaling. In addition, bioinformatics tools will be written to comprehensively compare data from both microarrays and proteomics experimentation using a range of animal models to gain a better understanding of relationships between the transcriptome and proteome. Together these exciting bioinformatics advances will create new tools to provide new approaches to study intercellular signaling proteins of the brain - essentially theorizing and experimenting "out of the box".