This seminar provides an introduction into concepts and tools for high-throughput experiments:

  • statistical analysis (including multi-variate statistical analysis)
  • large data evaluation and visualisation
  • python (numpy, scipy, biopython)
  • R
  • git
  • databases (sqlite, postgresql)
  • microfluidics (fluidics theory, chip design, chip production, detection, droplet sorting )
  • robotics (experiments on the LARA robotic platform)
  • assay development