Language
Data analysis in practice, module 1
3 ECTS credits,
Academic Year 2022-2023,
NB00AF29
This free online course applies basic machine learning methods for omics data in the Galaxy platform.
The course is meant for everyone interested in the application of machine learning methods to biomedical data, especially omics data.
The course is meant for everyone interested in the application of machine learning methods to biomedical data, especially omics data.
Enrollment period
-
Mode of delivery
Web-Based Studies
Independent study
Course study period
-
Price
0 €
Education information
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.
Education format
Continuous learning
Continuing training
Semester
Academic Year 2022-2023
Discipline
Biochemistry
Course organiser
University of Oulu
Location
online
Prerequisities and co-requisites
It is recommended that this course is taken after the courses “Bio-data”, “Data mining and data-based models”, “Elementary Programming” and “Mathematics for biomedical data analysis” from the minor programme in bioinformatics if these courses are in the student’s curriculum.
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.
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.
Contact information
More information and contact information
Krista Juurikka, krista.juurikka@oulu.fi
Last updated: 10.8.2023