REI601M: Introduction to Systems Biology, Spring 2017
Overview
Systems Biology is an interdisciplinary field at the intersection of biomedicine, engineering, and mathematics. Biochemical network reconstructions are key tools of systems biology which can be used to investigate and manipulate cellular properties using mathematical methods. This class provides an introduction to molecular systems biology by teaching i) basic principles of constraint-based modeling, ii) biochemical network reconstruction, iii) tools to interrogate various network properties, and iv) various applications in biotechnology and biomedicine. The class also provides a short overview of biochemistry, linear algebra and optimization.
The course activities includes reading and analyzing scientific papers, implementation of computational algorithms, working on a research project and the presentation of scientific results.
Course outcomes
Upon completing the course the student should i) have basic yet sufficient understanding of basic molecular life science in order to ii) be able to reconstruct simple biochemical networks from genomic, genetic and biochemical data, iii) be able to use constraint-based methods to analyze biochemical networks; and iv) be familiar with the main assumptions, limitations and applications of constraint-based methods in systems biology.Syllabus (tentative)
Date | Subject |
10.1 / 12.1 | Introduction and biochemistry basics |
17.1 / 19.1 | Metabolism |
24.1 / 26.1 | Bioinformatics |
31.1 / 2.2 | Reconstruction of biochemical networks |
7.2 / 9.2 | Analysis of biochemical networks |
14.2 / 16.2 | Constraint-based methods |
21.2 / 23.2 | Constraint-based methods |
28.2 / 2.3 | Biotechnology |
7.3 - 11.4 | Project work |
20.4 | Project presentation |
Reading material consists of research articles, tutorials and handouts. There is no required textbook for the course, however the following texts are recommended:
Systems Biology: Constraint-based Reconstruction and Analysis by Bernhard O. Palsson
Systems Biology: A Textbook by Edda Klipp, Wolfram Liebermeister, Christoph Wierling, Axel Kowald and Hans Lehrach
Course information
Lectures:- Tuesdays 14:10 - 15:40 (room V02-261)
- Thursdays 13:20 - 14:50 (room V02-261)
- Óttar Rolfsson (ottarr@hi.is)
- Steinn Guðmundsson (steinng@hi.is), Tæknigarður, room 212
Evaluation
- 5% Quiz (in-class)
- 35% Homework assignments
- 60% Final project
- Class participation bonus up to 5%
Course web
Announcements, homework assignments and supplementary material will be posted on Piazza. Piazza also provides an online forum to ask questions relating to the course, e.g. clarification of homework problems. To sign up go to https://piazza.com/hi.is/spring2017/rei601m and select "Join as Student". Click on "Join Classes" and provide your email account.