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Program Basics in Bioinformatics

In this introduction to bioinformatics, you will get a behind-the-scenes look at the work of a bioinformatician and learn the basic concepts that are used. You will actively work on answering biological questions using the computational power of computers.

Two students in Bioinformatics working with a laptop.

Learning outcomes

After completing the course, you will:

  • Understand the basic concepts used in bioinformatics;
  • Have an overview of the types of research that can be done with bioinformatics;
  • Know how to find and use online tools for performing an initial analysis;
  • Understand the basics of translating biology into databases and back again;
  • Understand the core principles of applying information technology to answer biological questions.
Student in Basics of Bioinformatics is point at a laptop.

Program per day

Day 1: Basics of biological and computational concepts relevant to bioinformatics    

  • How do we translate cellular biology into data points, and what does that data look like?
  • Where do you obtain biological data? How do you extract relevant information? And how can you combine data and information to build knowledge? (NCBI, SRA, EMBL-EBI, OMIM)

Day 2: Basics of programming for bioinformaticians (Bash/Python/R)

  • Why choose a particular programming language?
  • What can a programming language accomplish in a biological context?
  • Fundamentals of programming concepts (What are variables, data structures, loops, conditional statements and functions?)
  • What is a pipeline, and how do we connect multiple programs into a workflow?

Day 3: Basics of sequence analysis of DNA, RNA and proteins and alignment tools (needle, Clustal Omega, MUSCLE, MAFFT)    

  • What do Multiple Sequence Alignments reveal about sequences?
  • How do we translate data points back to the biology of a cell?

Day 4: Basics of genomics, transcriptomics and overall data visualization    

  • How do we identify the cause of a genetic disease such as cancer?
  • How do we explore the influence of different conditions on gene expression?
  • How do we view and interpret genetic information?

Program details

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Admission

What are the admission requirements? And how do I apply?

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