Python for downstream data analysis

programming
basic bioinformatics
ELIXIR
live training

Python for downstream data analysis

Target Audience:
All VIB staff
Location:

Online course

General context

This course is organised over two full days. We will start with a brief recap of  the basics of Python, followed by exploring several libraries for data manipulation and visualization. With the help of plenty hands-on exercises, you will learn to fetch biological data and sequencing files from online databases, and be able to parse and analyze this data. There will be time to highlight specific requests of topics from participants. 

 

Objectives
  • Use libraries for advanced data manipulation and visualization
  • Working with biological data using Biopython
  • Being able to write scripts and functions from scratch for specific bioinformatics problems
Required skills

Participants are expected to have attended an introductory Python course and/or have acquired some working knowledge of Python.

Program

Introduction & Python recap
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Data manipulation in Pandas
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Visualization libraries (matplotlib, seaborn, i.a.)
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BioPython (1/2): introduction & fetching data
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BioPython (2/2): Parsing and analyzing biological data & file formats
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Advanced bioinformatics exercises
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Selected exercises from Rosalind.

Interpreting complex scripts
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Selected from the BioPython Cookbook

Selected topics from participants
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