CORE--AUTOMATION AND INSTRUMENTATION

描述：(改编自申请人的摘要)此核心 实验室致力于开发新的自动化系统，用于 基因组作图和测序。A部分，自动化，将开发新的 在生产部门实施的方法和工具 项目1和2，根据目前可用的方法和 机器人原型。这些发展将包括：重叠群组装 自动化，杂交探测系统，平行寡核苷酸 琼脂糖塞制剂Biomek的合成及进展 系统，注塑塑料器皿，先进的菌落挑选系统， 增强循环测序技术，以及GIST。该项目将 还研究了纳米体积的操纵、检测和分析 为未来的微测序方法提供样本。B部分将具体说明 解决对传统商业可用产品的改进 基于荧光的DNA测序，这可能会导致大幅增加 在吞吐量和效率方面。具体地说，这个项目将实施 使用改进的凝胶格式，如长、薄、热稳定 用于增加读取长度的凝胶，以及用于增加吞吐量的更宽的凝胶。 提出了改进自动化车床数据采集系统的建议 定序器通过提供更有效的激励和收集光学器件， 更高的增益光电管、更快的数据采集硬件和软件以及 最终，使用了四个光管读出系统，并加以改进 现有的碱基调用软件使序列数据生成 更有用，并开发一个集成的数据收集和 包含质量控制措施的处理系统，以监控 测序仪在项目2测序作业中的性能。

Description: (Adapted from the applicant's abstract) This core laboratory is devoted to the development of new automation systems for genome mapping and sequencing. Part A, automation, will develop new methods and instruments for implementation in the production sections of Projects 1 and 2, based upon currently available methodology and prototype robotics. These developments will include: contig assembly automation, a hybridization probing system, parallel oligonucleotide synthesis, developments for the Biomek, an agarose plug preparation system, injection molded plasticware, an advanced colony picking system, technology for enhanced cycle sequencing, and the GIST. The project will also investigate the manipulation, detection and analysis of nanovolume samples for future microsequencing approaches. Part B will specifically address improvements to conventional, commercially available fluorescence-based DNA sequencing, which could lead to major increases in throughput and efficiency. Specifically, this project will implement the use of improved gel formats, such as long, thin, thermally stabilized gels for increased read lengths, and wider gels to increase throughput. It is proposed to improve the data acquisition system of the automated sequencers by providing more efficient excitation and collection optics, higher gain phototubes, faster data acquisition hardware and software and ultimately, the use of a four phototube readout system, and to improve the existing base-calling software so that the sequence data generated is more useful and to develop an integrated data collection and processing system incorporating a quality control measure to monitor the performance of the sequencers in the sequencing operation of Project 2.