CSHL Course on Advanced Sequencing Technologies & Bioinformatics Analysis

摘要 高级测序技术与生物信息学课程 分析 这个冷泉港年度短期课程将培训不同的生物和 生物医学科学家在最新测序技术和下游生物信息学中的应用 分析这些技术产生的大量序列数据。这个 建议开设的冷泉港高级测序技术实验室课程 生物信息学分析将于2021-2025年11月举行。广泛的科学研究 问题可以通过DNA/RNA序列的现代方法来探索 分析，因此我们预计来自在全球各地工作的个人的申请 生物和生物医学科学，从进化和发展到植物和动物 癌症的生理学和宿主对传染病的反应。学生们将被指导在 几个革命性测序平台的详细操作，包括文库建设 程序，一般数据处理，和深入的数据分析。常见实验 将详细探索由大规模并行测序技术实现的方法， 包括基因组的从头测序和组装，已知的DNA重新测序 癌症基因，批量转录组分析，单细胞转录组分析，小变体 为学生的研究领域量身定做的发现/解释和其他方法 感兴趣的人。扩展本课程的生物信息学部分，将向学生介绍 Unix命令行，重要文件格式，对齐，数据可视化，R中的基本脚本， Bash和其他编程语言、集群作业提交和生物信息学管道 发展。客座讲师为课程做出贡献，并鼓励他们突出自己的讲师 这些革命性技术的应用。在住宿环境中进行的这种专门培训 立即影响学员的研究进度，并促进合作和 教师和学员之间的思想交流，因此代表着一个重要和有价值的 加速基因组研究的投资。本课程的高级范围将是 与创新的教育设计结对，包括更广泛地传播 通过量身定制的在线学习工具提供课程讲座和相关材料以及习题集。 对服务不足的研究社区和个人进行重大接触和参与 将与专门的指导和跟进相结合，以帮助提供持续的学术 支持和留住有特定研究兴趣的未得到充分服务的个人 与课程的范围有关。

ABSTRACT COURSE ON ADVANCED SEQUENCING TECHNOLOGIES & BIOINFORMATICS ANALYSIS This Cold Spring Harbor annual short course will train a diverse cohort of biological and biomedical scientists in the latest sequencing technologies and the downstream bioinformatics analysis of the large quantities of sequence data generated by these technologies. The proposed Cold Spring Harbor Laboratory course on Advanced Sequencing Technologies & Bioinformatics Analysis is to be held November 2021-2025. A broad range of scientific questions are amenable to exploration through modern approaches in DNA/RNA sequence analysis, and we therefore anticipate applications from individuals working in areas across the biological and biomedical sciences, from evolution and development to plant and animal physiology to cancer and host response to infectious diseases. Students will be instructed in the detailed operation of several revolutionary sequencing platforms, including library construction procedures, general data processing, and in-depth data analysis. Common experimental approaches enabled by massively parallel sequencing technologies will be explored in detail, including de novo DNA sequencing and assembly of genomes, DNA re-sequencing of known cancer genes, bulk transcriptome profiling, single-cell transcriptome profiling, small variant discovery/interpretation and other approaches that are tailored to the student's research areas of interest. Expanding the bioinformatics component of the course, students will be introduced to Unix command-line, important file formats, alignment, data visualization, basic scripting in R, bash and other program languages, cluster job submission and bioinformatics pipeline development. Guest lecturers contribute to the course and are encouraged to highlight their own applications of these revolutionary technologies. This specialized training in a residential setting immediately impacts the progress of the trainees' research, and promotes collaboration and exchange of ideas between faculty and trainees, and thus represents a significant and valuable investment towards accelerating genome research. The advanced scope of the course will be twinned with an innovative educational design, including the broader dissemination of the course lectures and associated material and problem sets via tailored online learning tools. Significant outreach to and engagement of underserved research communities and individuals will be combined with dedicated mentoring and follow-up to help provide ongoing academic support to and retention of underserved individuals with specific research interests that intersect with the scope of the course.