CCR Sequencing Facility

在过去的一年里，CCR-SF已经对几十个国家的数百个样本进行了测序。 不同的NCI主要研究人员，生成了万亿的可映射数据，并完成了 许多项目。来自各种癌症类型和传染病的样本类型，包括 已成功测序的COVID包括：全基因组DNA，外显子组捕获DNA， 染色质免疫抑制DNA（ChIP），DNase HS DNA，4C DNA，mRNA，短发夹DNA， microRNA和亚硫酸氢盐样本。劳动密集型库准备步骤是主要的 工作流程瓶颈降低图书馆准备成本并增加图书馆准备 CCR-SF团队已经实施了 Beckmans SPRIworks片段文库系统（SPRI-TE）。SPRI-TE能够 生产三倍于技术人员准备的库， 受控的微流体系统，以减少手动液体转移的可变性， 成本目前等于或低于Illumina文库制备试剂的成本， 优化. CCR-SF生物信息学已对所有应用程序进行了标准分析。 这些分析已纳入自动化管道， 优化数据质量和自动化流程的生物信息学工作人员。CCR-SF 生物信息学将带领所有新客户完成Illumina简介课程 带一份文件以备将来参考本课程已在NCI中开设。CCR-SF 质量管理团队实施了强大的QC工作流程，以帮助确定潜在的 尽可能早地解决故障，进一步节约资源， 效率

Over the last year the CCR-SF has sequenced several hundred samples for dozens of different NCI principal investigators, generated Terabases of mappable data, and has completed numerous projects. Sample types from various cancer types and infectious diseases including COVID, have been successfully sequenced include: whole genomic DNA, exome capture DNA, Chromatin Immuno-Precipitated DNA (ChIP), DNase HS DNA, 4C DNA, mRNA, short hairpin DNA, microRNA and Bisulfite samples. The labor intensive library preparation step is the major workflow bottle neck. To reduce library preparation costs and increase library preparation throughput and the efficiency of laboratory operations, the CCR-SF team has implemented Beckmans SPRIworks Fragment Library System (SPRI-TE). The SPRI-TE has the capability to produce three times the number of libraries prepared by a technician, uses a tightly controlled micro fluidics system to reduce manual liquid transfer variability, and the reagent costs are currently at or below the cost of the Illumina library preparation reagents before optimization. CCR-SF bioinformatics has implemented standard analyses on all applications. These analyses have been incorporated into an automation pipeline providing additional time to bioinformatics staff for optimizing the data quality and automation process. CCR-SF bioinformatics takes all new customers through an Introduction to Illumina session complete with a document for future reference. This course has been given across NCI. The CCR-SF Quality Management team has implemented a robust QC workflow to help identify potential failures as early as possible further conserving resources and increasing overall efficiency.