SLAS2016 Short Courses
Next Generation Sequencing Technology Fundamentals and Applications
Next generation sequencing (NGS) technologies allow laboratories to do genome-wide research that was previously only possible at large genome centers. This course teaches keys concepts and applications of major sequencing technologies (Illumina, 454, SOLiD, Ion Torrent & PacBio) including their technology basics, sample preps, data analysis and associated IT supports.
Who Should Attend
- Principal investigators
- Lab managers and technicians
- Biology oriented project scientists and postdocs
- Students
How You'll Benefit From This Course
- Understand the basic concepts and limitations of major NGS technologies
- Go through the workflows of NGS technology experiments and data analysis
- Learn major NGS applications including Genome Assembly, Target Sequencing, RNAseq, ChIPSeq, Single Cell Genomics
Course Topics
- NGS Technology Overview
- Error Rates and Limitations of NGS Technologies
- Experimental Workflows and Requirements
- Data Analysis Workflows and Requirements
- Information Technology Support
- Sample Prep Automation
Instructors:
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Dawei Lin Dr. Lin joined DAIT as a Senior Advisor for Bioinformatics in February 2013. Prior to coming to NIH, Dr. Lin was the founding Director of the Bioinformatics Core at the University of California Davis Genome Center for 7 years, and before that, he was in charge of the Computational Biology group of Southeast Collaboratory for Structural Genomics at University of Georgia for 4 years, and spent 5 years at the Brookhaven National Laboratory in New York where he played a key role in the modernization and operation of the Protein Data Bank (PDB). Dr. Lin received his Master of Science, Quantum Chemistry, at Jilin University, Changchun, China in 1993, and his Ph.D. in Computational Biology at Peking University, Beijing, China in 1996. Dr. Lin is widely recognized for his contributions to various “Big Data” initiatives and we anticipate that his expertise in complex data analysis, Bioinformatics, and high performance computational infrastructure planning will be assets to the Institute as he assumes responsibility for directing, and leading the bioinformatics activities within DAIT. |
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Ryan Kim Dr. Ryan Kim is leading implementation of 2nd and 3rd generation (Illumina, 454, and PacBio) and emerging sequencing technology for innovative approach and large scale genome study. Currently, Director of the sequencing facility at University of California, Davis Genome Center, and his former position includes Director of Genome Center at National Center for Genome Resources and Director of DNA Services within Biotechnology Center at University of Illinois, Urbana-Champaign. He has been involved with numerous personal genome projects, comparative genome sequencing projects for agricultural genomics, and metagenomes. He is also an adjunct professor with number of Universities and Research Institutes. |
