Improve your data science skills by learning to work with R.
This introductory workshop provides a basic training in R for data analysis with a focus on biological applications. Participants will learn how to work with R using the graphical user interface (GUI) RStudio. Available methods for importing, inspecting and computing scientific data are covered. In particular, it will be shown how big data can be explored with pretty graphical visualizations and how these can be exported. At the end of the course, the participants will perform a case study and statistically analyse a real-life gene expression dataset.
Check our course layout.
Our trainers have a proven record of academic and/or industrial experience in NGS data analysis. Because up-to-date expert knowledge is needed to answer your questions and know what is important in the field.
We only use open source tools that are free to use. We try to showcase and compare different tools (e.g. NGS mappers), since not every software fits with every task/question.
For a optimal learning experience we carefully prepare our learning materials and example data. All materials, tools and results created during the course are for take home with you.
This workshop has been adapted to the needs of beginners and comprises this three course modules:
Dr. Markus Kreuz (University of Leipzig)
Markus is a computer scientist who specialiced in the analysis of high complex medical data. He works at the Institute for Medical Informatics, Statistics and Epidemiology (IMISE), which belongs to the Medical Faculty of the University of Leipzig. With more than 10 years of experience in analyzing complex data from various medical studies, he is an expert in the analysis of big data in R.
Dr. Mario Fasold (Seamless NGS)
Mario works in the analysis of microarray data since 2007 and developed several bioinformatics tools in R such as the Bioconductor package AffyRNADegradation and the Larpack program package. Since 2011 he specialized in the field of NGS data analysis and helped analysing sequecing data of several large consortium projects.
Dr. Christian Otto (Seamless NGS)
Christian has more than 10 years of experience in the usage of R to answer complex biological questions.
The target audience is biologists or data analysts with no or little experience in R.
Location: iad Pc-Pool, Rosa-Luxemburg-Straße 23, Leipzig, Germany
Available seats: 24 (first-come, first-served)
Registration Fee: 680 EUR (excluding VAT)
Travel expenses and accommodation are not covered by the registration fee.
Opening Date of Registration: 1 February 2017
Closing Date of Registration: 1 September 2017
Workshop: 9 - 11 October 2017 (8 am - 5 pm)
When you register for this workshop you are agreeing with our Workshop Terms and Conditions. Please read them before you register.