Data analysis in practice, module 1
The course is meant for everyone interested in the application of machine learning methods to biomedical data, especially omics data.
Note that this course is part of the Bioinformatics and data analysis training module. Before you can register to this course you must first apply for non-degree study right for Bioinformatics and data analysis training module!
After your application have been accepted for Bioinformatics and data analysis training module, you can register for this course by sending email to firstname.lastname@example.org
Mode of delivery
Course study period
This course is part of a study module:
- Bioinformatics and data analysis training module 25 ects (Academic Year 2022-2023)
Types of omics data and their generation. The Galaxy ambient and processing pipelines. Specific pipelines for genomics, transcriptomics and proteomics data. Best practices and troubleshooting. Application of analytical techniques from the course “Data models and methods, module 1” to the processed data.
Academic Year 2022-2023
Field of study
Prerequisities and co-requisites
It is recommended that this course is taken after together or after the courses “Data models and methods, module 1” from the continuous education programme in bioinformatics and data analytics.