|Date||17 - 20 October 2016|
|Speaker(s)||Alix Zollinger, Charlotte Soneson|
|Fees||*academic: 200 CHF - for-profit: 0 CHF|
|Cancellation deadline||14 Oct 2016|
Statistics are an integral aspect of scientific research, particularly for the life sciences which rely heavily on quantitative methodologies. This course is designed to provide researchers in the life sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems.
Attendees will work through short tutorials on the topics discussed in the class. These practical exercises will be implemented in the widely used "R" language and environment for statistical computing and graphics.
Topics covered during the course include: exploratory data analysis, hypothesis tests, linear models, correlation and regression, tests and models for NGS expression data, and cluster analysis.
This course is intended for life scientists from all levels and disciplines who are not experts in statistics. Although participants are not required to have a strong background in statistics, they should be comfortable with the R environment and be able to read, understand and write R commands before attending this course.
At the end of the course, participants should be comfortable exploring their data towards choosing the most appropriate model(s) for their analysis, implementing the model(s) and exploring the parameter space, and meaningfully interpreting the results.
Knowledge / competencies:
Participants should come from a biological background and ideally have basic knowledge of genomics such as next generation sequencing. Additionally, participants should have already taken a "First Steps with R" course or be similarly comfortable with using R/RStudio.
Participants must bring a a Wi-Fi enabled laptop with R and RStudio installed. More information about the packages needed will be provided before the course.
The registration fees for academics are 200 CHF. This includes course content material, coffee breaks, and a social dinner. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set to October 10. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
The course will start at 9h15 each day and end around 17h00. There will be coffee breaks in the morning and afternoon and a lunch break for one hour. There will be further details on the first day.
Coordination: Geoffrey Fucile
You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
For more information, please contact firstname.lastname@example.org.