Basic bioinformatics concepts, databases and tools

Trainer Janick Mathys


  • Understand the capabilities and pitfalls of bioinformatics.
  • Functioning of the most used bioinformatics algorithms and terms for reliable interpretation of the results.
  • Navigate with confidence to numerous on-line data repositories. Know where to search for them.
  • Basic analyses of single genes as well as groups of genes (gene lists)


During this 3-day introduction to bioinformatics, BITS will take you along a guided tour that covers all basic aspects of biological sequence analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to start tackling any basic bioinformatics problem: how to obtain relevant information about your gene, you know where to get the required sequence data, manipulate the sequences, and how basic software and algorithms function so you can fine-tune it in order the get the most out of your analysis.


Understanding of basic biological concepts, such as transcription, translation and cellular structure.

BITS provides 15 laptops for their training sessions. Depending on the number of participants (max 20), it might be that you have to share the laptop with one other participant but you can also choose to bring your own laptop for this training session.


See the TRAINING AT VIB website for a detailed schedule of this training.

Training material

  • Introduction: What are you going to learn in this training - Slides by Janick Mathys
  • Module 1: Sequence databases - Slides by Janick Mathys
  • Module 2: Sequence similarity - Slides by Janick Mathys
  • Module 3: Sequence analysis - Slides by Janick Mathys
  • Module 4: Beyond sequences - Slides by Janick Mathys
  • Module 5: Integration - Slides by Janick Mathys


  • Module 1: Sequence databases - Exercises 
  • Module 2: Sequence similarity - Exercises
  • Module 3: Sequence analysis - Exercises 
  • Module 4: Other important biological data - Exercises 
  • Module 5: Genome browsers and interpretation of gene lists - Exercises 

Exercise data




Scientific topics Sequence analysis, Database comparison
Target audience Life Science Researchers, PhD students, post-docs