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Old 01-15-2019, 12:49 AM   #1
Physalia-courses
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Location: Berlin

Join Date: May 2017
Posts: 25
Default Course: Squeezing biology out of statistics: Gene set and pathway analysis in HT data

Course "Squeezing biology out of statistics: Gene set and pathway analysis in HT data"

Where: Free University of Berlin

When: 11-15 March.

Our instructor for this course is Dr. January Weiner (Staff Scientist at the Max Planck Institute for Infection Biology, Germany).

Registration deadline: 10th February. We have a limited number of places available for this course.



This course offers computational techniques that go beyond a simple technical or statistical analysis. It covers techniques for the analysis of gene set enrichments, pathway analysis, gene ontologies, functional analysis of metabolomic profiling and making use of correlations and coexpression networks. A prominent part of the course will be devoted to data visualization and visual data exploration.

The students will gain the ability to independently process and analyse HT data sets, select the appropriate tools, functionally interpret the results as well as learn the paradigms of computational biology and statistics which will allow them to efficiently communicate with computational biologists.

As an incentive, each student will receive a set of gene expression profiles for a different organism, and during the course they will use these to generate species-specific gene expression modules and test their utility. If we are successfull, we will attempt a joint publication.

For more information about the course, please visit the course website: https://www.physalia-courses.org/cou...hops/course32/

Here you can find the complete list of our courses and Workshops:https://www.physalia-courses.org/courses-workshops/

Should you have any questions, please feel free to contact us at: info@physalia-courses.org

Best regards,

Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

info@physalia-courses.org

http://www.physalia-courses.org/

Twitter: @physacourses

mobile: +49 17645230846

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