This course introduces regular expressions that can be used to find patterns in textual data, including nucleic acid and protein sequences. It is aimed at colleagues who wish to write their own data analysis scripts and are familiar with Python and/or R and/or the UNIX command line. Instructor: András Aszódi. Topics Introduction to regular expressions. […]
Statistics with R The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge. We cannot go into the specific data analysis problems […]
The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R course. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András […]
Bash scripting This course teaches you how to write Bash shell scripts. It is aimed at colleagues who plan to work with UNIX-like operating systems including (but not limited to) HPC clusters. Instructor: András Aszódi. Topics Basics: variables, arrays, shell arithmetics. Flow control: logical decisions, iteration loops. Modularity: Bash functions. File path manipulations. Command-line argument […]
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 R is advantageous, in particular: Using […]
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 How to fit straight […]
This course provides an introduction to the CBE ("CLIP Batch Environment") high-performance computing cluster. 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 the cluster: architecture, storage layout, access. Work environment setup using modules. Data management, job submission, […]
The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R course. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András […]
The aim of this short course is to explain why we have to analyse variances if we want to compare group means using ANOVA techniques. This lecture is best taken with the Linear regression with R course. Please note that we cannot go into the specific data analysis problems of your particular project. Instructor: András […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
Python programming I+II The purpose of this course is to teach general programming concepts using the Python language as an instruction tool. Instructor: András Aszódi. Topics The course consists of two parts that are taught on different dates. Part I In the first part we learn the basics of Python programming. Introduction to Python: basic […]
Please provide affiliated Organisation, and your use-case or resource use estimation (CPU-hours, GPU-hours, Memory)