INCLUDING CHIMERA IN THE NRAMM AUTOMATED ELECTRON MICROSCOPY PIPELINE

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 该合作项目开发的软件使用NRAMM自动化处理管道(Appion)中的Chimera可视化功能进行电子显微镜单粒子重建。Appion管道生成大分子组件的三维密度图，如病毒、核糖体、蛋白酶体和细胞中的其他分子机械，该细胞具有足够均匀的结构，允许平均许多样本。该管道旨在将这种实验技术带给不是这种实验方法专家的研究人员。这是由布里奇特·卡拉格指导的生物医学技术研究资源--国家自动分子显微镜资源的中心目标。管道的可视化组件由RBVI开发的Chimera包处理。将Chimera纳入管道的努力涉及到自动生成驻留在数据库中的管道生成的数据集的标准视图的代码。在管道数据库中包括Chimera会话的更高级功能，允许用户在有用的标准视图(着色、切片、阈值、过滤等)中快速打开Chimera中的数据作为更专业分析的起点，还计划进行更多的分析。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This collaborative project develops the software to use Chimera visualization capabilities within the NRAMM Automated Processing Pipeline (Appion) for electron microscope single particle reconstructions. The Appion pipeline produces 3-dimensional density maps of large molecular assemblies such as viruses, ribosomes, proteasomes and other molecular machinery in the cell which has sufficiently uniform structure to allow averaging many specimens. The pipeline aims to bring this experimental technique to researchers who are not experts in this experimental methods. This is the central goal of the National Resource for Automated Molecular Microscopy, a Biomedical Technology Research Resource directed by Bridget Carragher. The visualization component of the pipeline is handled by the Chimera package developed by the RBVI. The effort to incorporated Chimera in the pipeline involves code that automatically produces standard views of pipeline generated data sets residing in a database. A more advanced capability to include Chimera sessions within the pipeline database that allow users to quickly open their data in Chimera in useful standard views (coloring, slicing, thresholding, filtering, ...) as a starting point for more specialized analysis is also planned.