Sustainable Development Goals

Abstract/Objectives

Taiwan Biobank provides unique resources for large-scale-based biomedical research. Exploring data from 200,000 Taiwan volunteers may enable new scientific discoveries to improve public health. This course gives an introduction to the data-structure of Taiwan Biobank. The methodological methods used for data analysis will be presented to the class. We will cover the basics of Linux, R programming, and genome-wide association analysis using whole-genome sequence data. Students will have the opportunity to learn how to conduct the analysis and visualization of bulk biomedical data, and how to streamline the analysis pipeline.

Results/Contributions

This class provides access and exposure to learning human tissue sample collection, storage, and retrieval for genomics data. R programming training and Genome Wide Association Studies (GWAS) hands-on workshop introduce students to the basic principles of analyzing genotyping. The training contains the introduction of the common Next-Generation Sequencing (NGS) file formats (fastq, sam/bam, etc.) and a hands-on workflow of DNA-Seq analysis (QC, mapping, visualization, etc.). Upon completion of the course, students should have acquired some skills related to R language programming environment and bioinformatic analysis tools for the analysis of whole-genome sequence data. The soft skills students will gain are problem solving, interpersonal and communication abilities, and the IT efficiency. They will be better prepared to pursue career opportunities in genomics and/or public health related fields.

Keywords

TaiwanBiobank

References

Contact Information

王群超
ccwang@life.nthu.edu.tw