INCLUDING CHIMERA IN THE NRAMM AUTOMATED ELECTRON MICROSCOPY PIPELINE

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 该合作项目开发的软件可在NRAMM自动处理管道（Appion）中使用Chimera可视化功能，用于电子显微镜单粒子重建。 Appion流水线生成细胞中的大分子组装体（如病毒、核糖体、蛋白酶体和其他分子机器）的三维密度图，这些分子组装体具有足够均匀的结构，可以对许多样本进行平均。 该管道旨在将这种实验技术带给那些不是这种实验方法专家的研究人员。 这是自动分子显微镜国家资源的中心目标，这是由Bridget Carragher指导的生物医学技术研究资源。 管道的可视化组件由RBVI开发的Chimera包处理。 将Chimera合并到管道中的工作涉及自动生成驻留在数据库中的管道生成数据集的标准视图的代码。 更高级的功能，包括管道数据库中的Chimera会话，允许用户在Chimera中以有用的标准视图（着色，切片，阈值，过滤等）快速打开数据。作为更专门分析的起点，也在计划之中。

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.