Bioinformatics & Computational Biology

Content

The course covers the basic elements in the pipeline of high-throughput data analysis:

  • crash course on molecular biology
  • overview on sequencing technologies
  • alignment and normalization algorithms
  • QC criteria
  • unsupervised learning methods for subtyping and data exploration
  • supervised learning methods for variable selection
  • functional characterisation
  • network reconstruction algorithms.

Two ninth of the credit are obtained through a final project.

Read more on unige.it

Instructor(s)

Annalisa Barla

Annalisa Barla

Associate Professor of Computer Science

Computational Biology

Effort Breakdown

  • Class
  • Lab
  • Project
  • Outside Preparation