Applied Bioinformatics

Overview

The goal of the Applied Bioinformatics Course is to provide hands-on training on major bioinformatics resources through the analysis of an RNA-Seq data set to find differentially expressed genes and investigate previously described functions of those genes and the pathways they are involved in.  

Topics covered include web-based gene and protein resources, genome browsers, pathways and gene set enrichment analyses, and RNA-Seq data analysis. RNA-Seq data analysis will be conducted using the web-based Galaxy system and the R statistical computing environment. The course will feature several modules that will have written worked examples to demonstrate how to apply the major tools or resources featured in the module. Participants should have a strong background in molecular biology. Prior computer programming skills are not required, but participants need to have a strong interest in learning some programming concepts.  The 2012 course agenda may be downloaded for an idea of the program (see pdf file link upper right)

Course organizers greatly appreciate funding from The Geisel School of Medicine at Dartmouth, University of Maine Graduate School for Biomedical Sciences and the Maine IDeA Network for Biomedical Research Excellence.  Funding is provided by the Lung Biology Center of Biomedical Research Excellence and the Dartmouth Institute for Quantitative Biomedical Sciences

Ben King, M.S.
Staff Scientist
MDI Biological Laboratory

Carol Bult, Ph.D.
Professor
The Jackson Laboratory

Gareth Howell, Ph.D.
Associate Research Scientist
The Jackson Laboratory 

Thomas Hampton
Bioinformatics specialist
The Geisel School of Medicine at Dartmouth

Keith Hutchison, Ph.D.
Professor of Biochemistry & Molecular Biology 
The University of Maine

Guest speakers

Tuition includes the cost of on-campus housing for course attendees. Housing units are double occupancy dorm rooms and shared cottages. Family lodging is not available.

Travel information