Introduction to Expression Microarray Analysis Using R/Bioconductor

A Bioinformatics Short Course

Presented by the Center for Quantitative Medicine

An intensive one day experiential short course taught by Julia Chifman, Ph.D., of the Wake Forest School of Medicine Department of Cancer Biology. This course will use a series of lectures and hands-on computer exercises sessions to show participants how to use bioinformatics and computational tools to analyze gene expression microarray data using the R/Bioconductor open source software environments.

Topics covered include:

  • Introduction to R/Bioconductor open source software;
  • Quality assessment and visualization;
  • Preprocessing microarray data including background adjustment, normalization and summarization;
  • Differential expression analysis;
  • Clustering analysis; and
  • Gene set enrichment analysis.

Date: Friday, May 2, 2014
Time: 9 a.m. to 5 p.m.
Location: Computer Education Center, Lyman Maynard Stowe Library, UConn Health, Farmington, CT

Course Registration

$150.00 – Student Registration (copy of valid student ID required with your registration) by April 25, 2014
$300.00 – Early Bird (call with credit card or postmarked by April 1, 2014)
$375.00 – Advance (by April 25, 2014)

There is no onsite registration and space is limited to 19 seats on a first-come first served basis. Register early to guarantee your seat! Please complete the registration form and mail your payment in the form of a check made payable to the “UConn Health Center.” You may also pay by credit card by contacting the UConnLink Registration Specialists at 1-800-535-6232 or 860-679-7692.

Registration includes tuition, course certificate, materials, lunch voucher, refreshment breaks, and a non-refundable registration fee of $50.00. Advance registration is required. There is no onsite registration available. Sorry no refunds after April 25, 2014.


Registration includes a $50.00 nonrefundable registration fee. Should you cancel your registration before April 25, 2014, you will be refunded the entire short course fee less $50. Sorry no refunds after April 25, 2014.


All registrations are confirmed in writing. If you don’t receive a confirmation, call 860-679-3075.

Conference Attire

Business casual attire is suggested. Since meeting room temperatures and personal comfort levels vary, it is recommended that you dress in layers and bring a sweater or jacket.

Directions to 263 Farmington Avenue

From I-84 East or West, take Exit 39 (if coming from I-84 West, Exit 39 is after 39A). Turn right at the first traffic light onto Route 4 East (Farmington Avenue). At the third traffic light, turn right to enter the UConn Health Farmington campus. At the first blinking light/stop sign, continue straight. Bear left at the fork and continue up the hill. The main entrance is straight past the second stop sign. Visitor parking is available on the other side of the gate. Once you enter the building, check in with the hospital information desk for directions to the academic entrance and Lyman Maynard Stowe Library.

Bus Routes

The UConn Health Farmington campus is on Connecticut Transit (CTTRANSIT) bus routes 66F, 66H, and 66T. For current weekday and weekend schedules, call CTTRANSIT at 860-525-9181 or visit their website at


Visitor parking is available near the main hospital entrance. Free valet parking is available to patients and visitors from 6 a.m. until 6 p.m. weekdays for those visiting the main building.

For Further Information

Matthew J. Cook
Director, Education & Outreach
Center for Quantitative Medicine
UConn Health
263 Farmington Avenue, MC 6029
Farmington, CT 06030-6029
Phone: 860-679-3075




Julia Chifman, Ph.D.


Julia Chifman, Ph.D., is a postdoctoral fellow in the Department of Cancer Biology at the Wake Forest University School of Medicine and a visiting scholar at the Virginia Bioinformatics Institute at Virginia Tech. Since completing her doctorate in mathematics at the University of Kentucky in 2009, her research has focused on systems and evolutionary biology, bioinformatics, genomics, and cancer research. Her research interests include gene expression analysis, systems biology and its application to molecular networks, and the estimation of species-level phylogenies using novel mathematical techniques. She has taught at both the undergraduate and graduate levels, including a course on microarray data analysis at the Wake Forest University School of Medicine.