November 10 - 22, 2015
Application Deadline: July 15, 2015

Elaine Mardis,
Washington University School of Medicine     Gabor Marth, University of Utah
W. Richard McCombie, Cold Spring Harbor Laboratory     Aaron Quinlan, University of Utah
Michael Schatz, Cold Spring Harbor Laboratory

Obi Griffith,
Washington University School of Medicine   Malachi Griffith, Washington University School of Medicine

See the roll of honor - who's taken the course in the past

Over the last decade, massively parallel DNA sequencing has markedly impacted the practice of modern biology and is being utilized in the practice of medicine. The constant improvement of these platforms means that costs and data generation timelines have been reduced by orders of magnitude, facilitating investigators to conceptualize and perform sequencing-based projects that heretofore were time-, cost-, and sample number-prohibitive. Furthermore, the application of these technologies to answer questions previously not experimentally approachable is broadening their impact and application. However, data analysis remains a complex and often vexing challenge, especially as data volumes increase.

This intensive 2 week course will explore use and applications of massively parallel sequencing technologies, with a focus on data analysis and bioinformatics. Students will be instructed in the detailed operation of several platforms, including library construction procedures, general data processing, and in-depth data analysis. A diverse range of the types of biological questions enabled by massively parallel sequencing technologies will be explored including DNA re-sequencing of known cancer genes, de novo DNA sequencing and assembly of genomes, RNA-sequencing, and others that are tailored to the student's research areas of interest.

Cloud-based computing will also be explored. Guest lecturers will highlight unique applications of these disruptive technologies. We encourage applicants from a diversity of scientific backgrounds including molecular evolution, development, neuroscience, medicine, cancer, plant biology and microbiology.

We anticipate the 2015 will be supported by the National Human Genome Research Institute with major equipment provided by Illumina & Life Technologies. Access to cloud computational resources will be supported by an AWS in Education Grant award from Amazon.

Cost (including board and lodging): $3,735

This button links to a short form which confirms your interest in the course.
No fees are due until you have completed the full application process and
are accepted into the course.


Students accepted into the course should plan to arrive by early evening on November 9 and plan to depart after lunch on November 22.