2016 Summer Short Courses

When: Wednesday 6/1/16 – Friday 6/17/16
Location: North Carolina State University
Talley Student Union
2610 Cates Ave.Raleigh, NC 27606
Talley Student Union
Lodging Options:

Doubletree by Hilton-Raleigh Brownstone
1707 Hillsborough St,

Raleigh, NC 27605
(919) 828-0811

Aloft Raleigh
2100 Hillsborough St.Raleigh, NC 27607
(919) 828-9900


Introduction To Linux (Dr. Galen Collier) – Wed., June 8th
This one-day short course offers a brief introduction to command-line operations using the Linux operating system. The primary objective is to provide you with beginner-level familiarity accessing and using a Linux system for common research computing tasks.

Introduction To R: Practical Bioinformatics (Dr. David Reif) – Thurs., June 9th
This one-day short course is an introduction to the R language for Bioinformatics applications. The main learning objective is to introduce practical coding skills that will allow you to perform basic Bioinformatics tasks and interact with popular tools/applications. These tasks include the creation, extraction, and manipulation of large data sets; the basics of graphics and visualization; and the automation of analysis using scripts. You will develop skills to perform these tasks in the context of practical application vignettes. Previous coding experience is not necessary.

Expression Analysis (Drs. Steffen Heber, Alison Motsinger-Reif, Fred Wright & Yi-Hui Zhou) – Mon., June 13th & Tues., June 14th
This two-day short course will cover basic concepts of gene expression, including analyses of microarrays and of transcriptomic sequencing.  The basic principles of differential expression testing, multiple hypotheses, and false discoveries will be covered.  Specific other topics include: the principles of pathway analysis and the utility of genomic annotation; alignment and calling of sequence-based methods, using tools such as tophat, cufflinks, and cuffdiff; and tools for RNA sequence analysis, including the negative binomial model, edgeR, DESeq. CAMERA-ROAST-Voom for pathway analysis.