BI201 Gene Expression Analysis

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Objective

This course helps to demystify Affymetrix analysis so that any researcher can take the basic steps to go from a chip image to a list of genes that are up- or down-regulated in an experiment. Various tools will be covered, e.g. GCOS, Excel, MATLAB, and free tools like R and Dchip. It is geared towards researchers who conduct microarray experiments to study genome-wide expression changes and understand the underlying mechanisms of gene regulation in samples of interest. Most scientists are not able to analyze the resulting data themselves. They are not able to get desired results using traditional tools like Microsoft Word and Excel, or with advanced software provided by commercial vendors. The freeware solutions come either with a steep learning curve or as black-box interfaces that provide limited functionality with little or no technical support. In the midst of all this is the fundamental lack of understanding among scientists on how the technology works and what the fundamental parts of the analysis are.

No experience is required, although prior experience with any other programming language will be helpful. Math skills will also be useful. This course is certified by the Bioinformatics Organization, Inc., the largest international affiliation in the field, and it will count as 16 "Continuing Scientific Education" (CSE) credits (one credit per contact hour) within the Organization. Students completing the course will receive a certificate attesting to that.

Course outline

Course schedule

This course has been offered several times. Access to completed courses is available to enrolled students only, because of privacy and confidentiality issues. If you are interested in an upcoming course, register using instructions below.

Registration

Registration comprises of two steps. First, create an online account to access the educational section of our website. Second, register for this course by making a payment using either the online registration form (click on the scheduled course above; use this form only for credit card payments via secured PayPal), or by sending in the Mail-in registration form (~150 kB PDF, use this form if paying by US checks, credit card or corporate purchase order). Please check the tuition rates and discounts below.

Registration deadline: When full

Tuition: $895 (USD)

Some discounted rates are available, as follows: Academic and non-profit research organizations, $598 (USD) Students (paying for themselves, and not seeking reimbursement), $298 (USD)

Unemployed individuals may apply for the student discounted rate (verification required), if there are seats available. Limited scholarships may also be available. To inquire, please send an email to jeff@bioinformatics.org

In addition, professional members of our website will get an additional 20% discount.


Logistics

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Online courses are offered on the ASAP online meeting system. Access information will be provided prior to the start of the course. Each lecture will last 45 to 90 minutes, depending on the topics covered. For those who cannot attend the lectures at those times, the lectures will be recorded and placed on the course website as Flash videos (resolution reduced by 30%) each day, within one day. Students will also be able to communicate with the instructor and other students via the course forums. Lecture attendance is therefore not required.

Since this will be an interactive, hands-on workshop, all attendees will need a computer with a broadband Internet connection (1 Mbps or faster is strongly recommended for those watching the live lecture), a sound card with speakers, a modern Web browser, and the Adobe Flash plugin. Please check the specific system requirements for your computer. A microphone and webcam is not required for this course. The necessary software, lecture notes and exercises will be provided.

ASAP is a trademark of Convoq, Inc.
Other names are trademarks of their respective owners.

Additional information

If you have any questions, please send a message to J.W. Bizzaro (login required) or call +1 508 890 8600.

See also

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