Multi-omic data analysis with R/Bioconductorhttps://microbiome.github.io/course_2023_oulu
Oulu Summer School, June 19-21, 2023 (Mon-Wed)
Contents and learning goals:
This course provides an introduction to multi-omic data integration and analysis with R/Bioconductor, a popular open source environment for scientific data analysis. After the course you will know how to organize data tables into a coherent framework, implement reproducible workflows, and approach common data analysis tasks by utilizing available documentation and R tools. The primary focus is on microbiome research but the covered data science methods are generally applicable and we will discuss links with other application domains such as transcriptomics, metabolomics, and single cell sequencing.
Target audience:
Doctoral researchers, MSc students, postdoctoral, and other researchers who wish to learn new skills in statistical programming and data analysis. Academic students and researchers from both Finland and abroad are welcome and encouraged to apply.
Schedule:
The course will be organized in a live format at the University of Oulu. June 19-21, 2023 (Mon-Wed).
Contact teaching daily between 9am - 4pm, including lectures, demonstrations, hands-on sessions, and breaks.
* Day 1 Reproducible workflows with R/Bioconductor and Quarto
* Day 2 Tabular data analysis (working with single 'omics)
* Day 3 Multi-assay data integration (multi-omics)
For detailed schedule, check the course website. The course can be extended by an independent assignment (details will be agreed with the main teacher).
Registration:
See the course homepage https://microbiome.github.io/course_2023_oulu for registration instructions.
Applications from local students, and applications sent before May 15 will be given priority, and the places will be filled on a first come, first serve basis.
No registration fee. Participants are expected to cover their own travel and accommodation (see the course homepage).
Teachers and organizers:
Leo Lahti is the main teacher and Associate Professor in Data Science at the University of Turku. Dr. Pande Erawijantari is a co-teacher on this course. Course assistants: Tuomas Borman (Turku), Giulio Benedetti (Turku) and Anna Kaisanlahti (Oulu). Docent Justus Reunanen is the course coordinator. The course is jointly organized by Health and Biosciences Doctoral Programme (HBS-DP) University of Oulu Graduate School, Research Unit of Translational Medicine, University of Oulu, and the Department of Computing, University of Turku, Finland. The Finnish IT Center for Science (CSC) supports the course by providing cloud computing services.