Education and Training
We are keen on fostering a deep understanding of bioinformatics and statistical analysis. Therefore we are involved in arranging courses, workshops, and hands-on sessions.
Hands-on
One-hour training sessions where we show you how to perform a specific analysis or method. We provide four hands-on sessions per year. This year we offer the session described below.
Thursday 23rd of March, 2023
You will practice how to clean, transform, and summarize data in order to improve the quality and interpretation of data. Tidyverse includes dplyr and other packages.
Register to session: Registration opens 3 weeks before the hands-on
Thursday 26th of May, 2023
You will practice how to perform linear and logistic regression in R.
Register to: Registration opens 3 weeks before the hands-on
Thursday 28th of September, 2023
You will practice how to generate scatter plots to visualize your data, regression lines, confidence intervals, among others.
Register to: Registration opens 3 weeks before the hands-on
Thursday 23rd of November, 2023
You will practice how to generate histograms, boxplots, density plots, and violin plots.
Register to: Registration opens 3 weeks before the hands-on
Training Material
PhD Courses in Bioinformatics
We offer PhD courses free of charge for national and international PhD students. See the list below.
Application for spring courses are open between 1st and 21st October, and for the autumn courses between 1st and 21st April.
Phd Course name |
Week (Project work) 2023 |
|---|---|
|
Bioinformatics I (SC00037) |
05-10 |
|
R Programming (SC00035) |
10-13 (14-17)* |
|
Unix applied to genomic data (SC00036) |
16-20 (21-23) |
|
Bioinformatics II (SC00038) |
34-39 |
|
Python for biologists (SC00039) |
36-40 (42) |
|
Gene expression analysis using R (SC00034) |
39-43 |
| 43-47 |
* Extended with one extra week due to Easter
Are you not a PhD student?
We offer the same content of the courses as a workshop for non-PhD students. The workshop runs simultaneously with the PhD course and has a registration fee of 2000 SEK. We can give any workshop at any other time if there are at least 10 participants.
To register an application follow the instructions at the Access our service page.
We suggest to take the courses in the following order:
Master Course in Bioinformatics
Next Generation Sequencing Analysis with clinical applications, 5 credits (ECTS)
The course includes a combination of lectures and practical sessions where participants will focus on the analysis and interpretation of clinical Next Generation Sequencing (NGS) data applying various bioinformatics tools. The statistical tool R will be introduced to perform and visualize the results. The course covers essential concepts in molecular biology and genetics, the principles on NGS applications, with a focus on targeted resequencing and RNA sequencing. In depth analysis of NGS quality assessment and interpretation of mutation and gene expression analyses.
