Computational Life Science 2012, 15.0 hp

• Course coordinator: Torgeir R. Hvidsten
• Teachers
  • Henrik Antti
  • Torgeir R. Hvidsten
  • Patrik Ryden
• Module 1: Statistics for life sciences
  • Teacher: Patrik Ryden
  • Book: Biomeasurement - understanding, analysing, and communicating data in the biosciences, Dawn Hawkins, Oxford University Press. ISBN: 9780199265152.
• Module 2: Elements of bioinformatics
  • Teacher: Torgeir R. Hvidsten
  • Computer labs: David Sundell
  • Book: Introduction to Bioinformatics. Arthur M. Lesk, Oxford University Press. ISBN 978-0-19-920804-3.
• Module 3: Chemometrics
  • Teacher: Henrik Antti
  • Books: "Design of Experiments" and "Introduction to Multi- and Megavariate Data Analysis using Projection Methods"
• Module 4: Project

Umeå Plant Science Centre

Department of Plant Physiology, Umeå University

Department of Forest Genetics and Plant Physiology, SLU Umeå

Upon completing the course, the student should be able to:

• perform hypothesis testing and basic statistical analysis, and correctly interpret the results.
• perform classification, regression and  model evaluation.
• plan a biological experiment where many variables influence the outcome.
• describe different algorithm design techniques and analyze their time/space complexity.
• apply classic bioinformatics tools in appropriate situations, understand how they work and correctly interpret their output.
• use a combination of appropriate computational techniques discussed in the course to analysis a real life science dataset, and discuss the pros and cons of choosing different methods.

Lab 1 (solutions)
numbers.txt
Perl tutorials