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.
Drop-in consultancy
Every second week we arrange a local zoom-in consultancy session. If you want to discuss your project, know what tool to use or what kind of analyses fit your data best, among others, join us!
Where: Zoom room (click the link)
Time: 10.00 - 11:00
Spring schedule (Thursdays):
January 13th and 27th
February 10th and 24th
March 10th and 24th
April 7th and 21st
May 5th and 19th
June 2nd, 16th and 30th
Relevant links
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.
Note:
Due to the Covid-19 situation, all sessions are postponed until further notice.
Thursday 26th of March, 2020
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: Data wrangling with R using the tidyverse collection
Thursday 28th of May, 2020
You will practice how to perform linear and logistic regression in R.
Register to: Linear and logistic regression in R
Thursday 24th of September, 2020
You will practice how to visualize and analyze proteomics data by creating a PCA plot and a heatmap of the data, followed by computing fold changes, p-values, and adjusted p-values.
Register to: Expression analysis using proteomics data
Thursday 19th of November, 2020
You will practice how to generate histograms, boxplots, density plots, and violin plots.
Register to: Distribution plots
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) |
|---|---|
|
Bioinformatics I (SC00037) |
05-09 |
|
R Programming (SC00035) |
10-13 (14-17)* |
|
Unix applied to genomic data (SC00036) |
16-19 (20-22) |
|
Bioinformatics II (SC00038) |
34-38 |
|
Python for biologists (SC00039) |
37-41 (42) |
|
Gene expression analysis using R (SC00034) |
38-42 |
| 42-46 |
* Extended with one extra week due to Easter
Workshops for other applicants
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.
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.