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SYSTEMS BIOLOGY
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SYSTEMS BIOLOGY
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Academic year 2017/2018
- Course ID
- SVB0050
- Teaching staff
- Francesca Cordero
Prof. Michele Caselle - Degree course
- Cellular and Molecular Biology
- Year
- 2nd year
- Type
- Related or integrative
- Credits/Recognition
- 6
- Course disciplinary sector (SSD)
- FIS/02 - fisica teorica, modelli e metodi matematici
INF/01 - informatica - Delivery
- Formal authority
- Language
- English
- Attendance
- Lessons optional and laboratories mandatory
- Type of examination
- Written and oral
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Sommario del corso
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Course objectives
This is a 6 credit course aimed to provide theoretical, technical and methodological background to Systems Biology
Particular attention will be focused on Gene Regulation and Network Theory.- Oggetto:
Results of learning outcomes
KNOWLEDGE AND LEARNING SKILLS. Theoretical approaches for the quantitative study of gene regulation
USE OF KNOWLEDGE AND LEARNING SKILLS. At the end of the course, the student is expected to be able to:
- use mathematical modelling to discuss relavant issues in Systems Biology
- understand the main results published on a research paper
- prepare a presentation based on a research paper in Systems Biology- Oggetto:
Course delivery
The course is articulated in two parts of 24 hours each of formal in-class lectures.
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Learning assessment methods
The course grade is determined on the basis of a written examination for the first part and an oral discussionfor the second part.
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Support activities
Weekly homework sets will be assigned.
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Program
Microarray platforms, Next Generation Sequencing platforms. Experimental design. Microarray: data acquisition and
primary analysis. Signal normalization. Data filtering. Differential expression techniques (Linear models, permutation
based statistics). Classification methodologies. Meta-analysis techniques. Next Generation Sequencing: algorithms for
short reads mapping.
Complex Systems:
Quantitative description of Biological Systems using mathematical and physical methods. In particular, after a short
introduction to Statistical Mechanics, we shall discuss the applications of network theory and computer simulations to
the study of complex biological systems.Suggested readings and bibliography
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U. Alon, Introduction to Systems Biology, Chapman & Hall/CRC
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