System biology - SYSTEMS BIOLOGY E RETI BIOLOGICHE: INTRODUZIONE ALLA BIOLOGIA DEI SISTEMI, RETI DI TRADUZIONE DEL SEGNALE: APPLICAZIONI (2011/2012)

Course not running

Course code
4S000696
Name of lecturer
Carlo Laudanna
Number of ECTS credits allocated
2
Academic sector
MED/04 - EXPERIMENTAL MEDICINE AND PATHOPHYSIOLOGY
Language of instruction
Italian
Location
VERONA
Period
II semestre dal Mar 1, 2012 al Jun 15, 2012.

To show the organization of the course that includes this module, follow this link * Course organization

Lesson timetable

II semestre
Day Time Type Place Note
Wednesday 2:30 PM - 4:30 PM lesson Lecture Hall H from Mar 23, 2012  to Jun 15, 2012
Friday 1:30 PM - 3:30 PM lesson Lecture Hall H from Mar 23, 2012  to Jun 15, 2012

Learning outcomes

The class will provide the students with an overview of different aspects of Systems Biology applied to life and medical science. The class will be initially focused on general aspects of Systems Biology, including the concepts of complexity, emergent properties, abstraction, mathematical modeling and biological networks. the course will provide a number of examples regarding general principles and methods typical of systems biology, data-bases and software widely used in the field. Furthermore, in the course we will introduce as propaedeutic background, some examples of complex systems in biology, including signal transduction and metabolic networks.

Syllabus

1) Complexity: definition and its nature in biology
2) Emergent properties: cell and molecular circuits
3) The deductive and inductive methods in science
4) Systems Biology: definition and principle
5) Why systems biology: the reductionist versus holistic approach in science
6) Modeling
7) Static modeling and the graph abstraction; network theory
8) Dynamic modeling
9) Methods in Systems Biology: high throughput technologies
10) Methods in Systems Biology: bioinformatcis 1
1) Methods in Systems Biology: data-bases
12) Methods in Systems Biology: software for systems biology
13) Systems Biology contexts: trascriptomic, proteomic and metabolic networks. Signaling networks.

Assessment methods and criteria

Written exam with multiple Q&A