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Bioinformatics and Systems Biology
Leonardo Sorci

Seat Ingegneria
A.A. 2015/2016
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
None

Learning outcomes
To apply the computational tools, algorithms and theoretical methods of bioinformatics and computational biology for modeling, mining, and analyzing biological systems: from the single biomolecule to the complex biological networks.

Program
Elements of comparative biochemistry. Elements of comparative Molecular Biology. Introduction to Bioinformatics. Functional genomics. Biological Databases and databanks. Name and function of database. Retrieval of data and its description. Gene expression analysis. Pairwise sequence alignments. FASTA and BLAST. Multiple Sequence Alignments. Methods of Gene prediction. Sequence Similarity networks. Comparative genomics. Methods for discovery and characterization of sequence motifs. Phylogenetics and Evolutionary Bioinformatics. Molecular modeling of proteins: from simulation to drug design applications.

Development of the examination
LEARNING EVALUATION METHODS
The learning evaluation of the students is carried out by an oral test, which may include a brief written test, depending on the assigned tasks.

LEARNING EVALUATION CRITERIA
To successfully pass the exam, the student must properly address 2-3 questions which will include up to one question related the Biochemistry and Molecular Biology background sections of the course.

LEARNING MEASUREMENT CRITERIA
Attribution of the final mark up to thirty

FINAL MARK ALLOCATION CRITERIA
The final evaluation is positive if the student obtains at least eighteen out of thirty allocated points. The highest rating is achieved by demonstrating a deep understanding of the course content. Cum laude is given to students who have demonstrated a particular brilliance in the exposition.

Recommended reading
Anna Tramontano: Introduction to Bioinformatics. Boca Raton, FL : Chapman & Hall/CRC, c2007.

Courses

• Biomedical Engineering (Corso di Laurea Magistrale (DM 270/04))