This new workshop covers modern high throughput sequencing technologies, applications, and ancillary topics, including:
- Illumina HiSeq / MiSeq, and PacBio RS technologies
- Read Quality Assessment & Improvement
- Genome assembly
- SNP and indel discovery
- RNA-Seq differential expression analysis
- Experimental design
- Hardware and software considerations
- Cloud Computing
The course includes a rich collection of lectures and hands-on sessions, covering both theory and tools. We will cover the basics of several high throughput sequencing technologies, but will focus on Illumina and PacBio data for hands-on exercises, which will be performed using the Unix command line on the Amazon Cloud (http://aws.amazon.com/). Exercises will offer the chance to explore software and protocols for high throughput data analysis. Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.
NOTE: Although there are no prerequisites other than familiarity with general biological concepts, it is strongly recommended that participants have basic familiarity with the Linux/Unix (or Mac) command line. Those without command line experience are encouraged to look at our Galaxy workshop in June.
Attendance is limited to 35 participants in order to foster an effective learning environment and ensure sufficient one-on-one attention. Course tuition is $1,500 for academic or non-profit participants and $1,800 for other participants. Amazon has kindly provided grants of $100 per participant for Amazon Web Services accounts. This will allow you to perform analysis during and after the course using Amazon’s resources, without purchasing your own high performance computing servers!
The workshop will be held on the UC Davis campus and will run from 9am to 5pm on the dates indicated. Registration fees include light breakfast, lunch, and snacks, but do not include dinner, lodging or parking fees.
Update: This workshop is now waitlisted. At this point we cannot guarantee entry, but we welcome people to add themselves to the waitlist by clicking on the link below and filling out the form. If any spots open up, we’ll offer them to those on the waitlist on a first come, first served basis.