Genomica informazionale: contenuto informativo dei genomi e s divergenza dalla randomicità (2020/2021)

Course code
cod wi: DT000080
Name of lecturer
Vincenzo Bonnici
Vincenzo Bonnici
Number of ECTS credits allocated
Academic sector
Language of instruction
A.A. 20/21 dottorato dal Oct 1, 2020 al Sep 30, 2021.

Lesson timetable

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Learning outcomes

Notions of computational genomics linked to information theory will be given.
In particular, the notion of distribution will be a key feature for representing genomes and for analysing their informational content.


Introduction to the course. Basic notions. Genomes as DNA strings. (1 hour)
Distributions. Statistical indexes and Chebyshev inequality. Distribution distances. (2 hours)
Information and information sources. From physical to informational Entropy. (2 hours)
Entropy and mutual entropy. Entropy Circular Principle. Entropic divergence. (2 hours)
Genomes as information sources. Genomic distributions. (2 hours)
Informational genomic indexes. Relations among informational indexes. (2 hours)
Random genomes. Random log normality principle. Logarithmic bounds of randomness (2 hours)

Reference books
Author Title Publisher Year ISBN Note
T. M. Cover, J. A. Thomas Elements of Information Theory (Edizione 1) John Wiley & Sons, Inc. 1991 0471062596
Vincenzo Manca Infobiotics Springer 2013

Assessment methods and criteria

A presentation regarding a scientific article which arguments are similar to those of the course and that has been chosen in agreement with the teacher.