Course Description
The advent of next generation genomic technologies has ushered in tremendous opportunities to reclassify disease. With unparalleled insights into disease manifestations in cells and tissues, pathologists are uniquely well-suited to lead this effort. There are, however, some barriers to entry into this new and exciting arena. With a focus on practical tips and concepts for non-specialists, this course is designed to lower these barriers. This course is aimed at pathologists with no specialized training in genomics or bioinformatics. After an overview of how to incorporate these technologies into your career, you will learn specific strategies to use massive data sets to enhance your research.

Course participants are strongly encouraged to bring their fully charged internet enabled device (tablets or laptops) to the course. The topic for the course this year is rich in internet content. The USCAP will provide Wi-Fi access in the room during the course. Participants with internet enabled devices will be able to follow along with faculty, bookmark sites, and more fully participate in the course.

Introduction David M. Berman, MD, PhD, Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada, and Massimo Loda, MD, Dana Farber Cancer Institute and Brigham and Women's Hospital, Harvard University School of Medicine, Boston, MA

"How to Integrate Complex Data Sets into a Career in Investigative Pathology" David Huntsman, MD, University of British Columbia, Vancouver, BC, Canada Upon Completion of this presentation, the participant will be able to: Identify ways to impact patient care using next generation technologies. Understand new ways of classifying disease on the basis of genomic properties. Understand how to operate as an investigative pathologist within a genomics-oriented team.

"In Silico Experiments: How to Use Other People's Data to Do Your Own Experiments" Daniel Brat, MD, PhD, Emory University Hospital, Atlanta, GA Upon completion of this presentation, the participant will learn to build relationships with funding agencies, including how to: Appreciate the vast array of genomic data available online. Learn to use online data to generate and test hypotheses.

"From The Archives: Platforms for High Dimensional Analysis of Formalin-Fixed, Paraffin Embedded (FFPE) Tissues" Edward Stack, PhD, Center for Molecular Oncologic Pathology, Dana Farber Cancer Institute, Boston, MA Upon completion of this presentation, participants should be able to: Become familiar with platforms for profiling protein and nucleic acids from FFPE tissue. Understand how analytes in FFPE are affected by pre-analytic variation. Compare and contrast costs, risks, and benefits of different profiling strategies. Distinguish between well-established and emergent technologies for profiling FFPE.

"Making Sense of Complex Datasets: What the Pathologist Needs To Know" John Quackenbush, PhD, Harvard School of Public Health and Dana Farber Cancer Institute, Boston, MA, Upon completion of this presentation, by means of 10 simple lessons the problems and pitfalls of getting a manuscript published will be reviewed, and participants should be able to: Learn basic statistical concepts as they pertain to massive data sets. Understand conceptual frameworks used to analyze genomic data. Become familiar with user-friendly resources for genomic analysis. Identify ways that non-specialists can make sense of genomic data.

Questions and Answers/Moderated Panel Discussion