Advanced plotting with ggplot in R The aim of this course is to teach you how to create informative scientific plots using the ggplot package in R. Instructor: András Aszódi. Topics Fundamentals of scientific visualisation. Introduction to ggplot. Data preparation, plot creation workflow. ggplot details: bars, boxes, densities, function plots, faceting. Prerequisites Basic familiarity with […]
Linear regression with R The aim of this course is to teach you how to analyse your data using simple linear models. We focus on linear regression in order to improve your generic statistics knowledge. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics […]
Advanced plotting with ggplot in R The aim of this course is to teach you how to create informative scientific plots using the ggplot package in R. Instructor: András Aszódi. Topics Fundamentals of scientific visualisation. Introduction to ggplot. Data preparation, plot creation workflow. ggplot details: bars, boxes, densities, function plots, faceting. Prerequisites Basic familiarity with […]
SCOPE Get to know the expanding tool collection for predicting protein folding. This is less of a hands-on course but more of a presentation of the available tools and what insights you can produce with them GUESTS¹ Alexander Schleiffer (Bioinformatics Service IMP) will provide an introduction to Alphafold2's methodology Andreas Hagmüller (Burga Group, IMBA) will present […]
Nonlinear regression with R The aim of this course is to teach you how to analyse your data if there are complicated relationships between the variables. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics How to fit a PCR curve? Simple nonlinear regression. […]
Container technologies This course provides an introduction to Docker and Singularity/Apptainer containers. Instructor: András Aszódi. Number of participants: minimum 5, maximum 10. Topics and schedule Length: The course takes four hours with two short breaks. Topics: Introduction to container technologies. How to use Docker containers and build your own images. Containers in HPC clusters: Singularity/Apptainer. […]
Container technologies This course provides an introduction to Docker and Singularity/Apptainer containers. Instructor: András Aszódi. Number of participants: minimum 5, maximum 10. Topics and schedule Length: The course takes four hours with two short breaks. Topics: Introduction to container technologies. How to use Docker containers and build your own images. Containers in HPC clusters: Singularity/Apptainer. […]
Bayesian Statistics with R "What is this "Bayesian" thing? And why would I need to learn about it?" You should learn about the Bayesian approach because it fits very well the way we do science. We update our incomplete "prior" knowledge with experimental observations (the "evidence") to obtain a better understanding (the "posterior") of the […]
Container technologies This course provides an introduction to Docker and Singularity/Apptainer containers. Instructor: András Aszódi. Number of participants: minimum 5, maximum 10. Topics and schedule Length: The course takes four hours with two short breaks. Topics: Introduction to container technologies. How to use Docker containers and build your own images. Containers in HPC clusters: Singularity/Apptainer. […]
Bayesian Statistics with R "What is this "Bayesian" thing? And why would I need to learn about it?" You should learn about the Bayesian approach because it fits very well the way we do science. We update our incomplete "prior" knowledge with experimental observations (the "evidence") to obtain a better understanding (the "posterior") of the […]
Nonlinear regression with R The aim of this course is to teach you how to analyse your data if there are complicated relationships between the variables. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András Aszódi. Topics How to fit a PCR curve? Simple nonlinear regression. […]
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