Working in Unix. A quick introduction to Python. Good practice for scientific programming. Important modules for scientific programming.
Terminology and methods in Bioinformatics. Sources of data in Bioinformatics. Databases and basic SQL.
Some of the course contents is useful in many contexts, but we will focus on applications in Bioinformatics.
After completion of this course, you will be able to
- structure data for efficient computerized storage and analysis
- use relational databases
- create your own relational databases
- use a scripting language to solve every-day problems in Bioinformatics
- use important Bioinformatic software libraries to quickly find solutions for tedious programming problems.