The Department of Biostatistics and Bioinformatics will offer a summer High Throughput Sequencing Course from July 5 to August 10, 2017 at Duke University. Genomics technologies are advancing at an exponential rate, and the ability to run genomic experiments and analyze the resulting data is a critical skill set for future researchers in biology and medicine. Due to the complexity of the genome and the vast quantities of data generated per experiment, making sense of genomic data poses unique statistical and computational challenges. As part of the National Institutes of Health (NIH) Big Data to Knowledge (BD2K) initiative, the Department of Biostatistics and Bioinformatics, together with faculty from the Duke Center for Genomic and Computational Biology, has been funded to host a 6-week summer course from July 5 – August 10 2017 on High Throughput Sequencing (HTS), to teach the next generation of scientists the biological, statistical, computational and informatics knowledge for implementing a well-designed genomics experiment. This is a full-time course, and lectures/labs will be conducted from 9 - 4 PM from Mondays to Thursdays. Fridays and weekends are free for coursework, group projects and social activities.
To learn more about this program, see the course page.
Topics covered in the summer course include:
- Introduction to molecular biology and HTS
- Laboratory sessions generating and preparing RNA for HTS
- Data munging, analysis and visualization in R
- Statistical concepts for experimental design
- Hypothesis testing and sample size calculations
- Unsupervised and supervised statistical learning
- Multiple testing, missing data, pathway and meta-analysis
- Pipelines for HTS analysis using the Unix shell and R/Bioconductor
- Data standards and informatics resources for HTS
How do I find out more?
If you have additional questions, please contact the course coordinator (htscourse@duke.edu).