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COMPUTATIONAL GENOMICS AND GENE NETWORKS

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COMPUTATIONAL GENOMICS AND GENE NETWORKS

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Academic year 2021/2022

Course ID
BIO0154 Pds 307-DDD
Teaching staff
Prof.ssa Emanuela Tolosano (Lecturer)
Prof. Emilio Hirsch (Lecturer)
Prof. Ferdinando Di Cunto (Lecturer)
Prof. Paolo Provero (Lecturer)
Degree course
[0101M22] Molecular Biotechnology
Year
1st year
Teaching period
First semester
Type
Distinctive
Credits/Recognition
10
Course disciplinary sector (SSD)
BIO/13 - biologia applicata
Delivery
Formal authority
Language
English
Attendance
Obligatory
Type of examination
Written and oral
Prerequisites
Solid background in Cellular and Molecular Biology, Genetics, Bioinformnatics
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Sommario del corso

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Course objectives

The aim of the course is to provide the students with the main concepts and tools used in the computational analysis of gene expression and its transcriptional regulation, and in  genetic analysis of gene interactions. 

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Results of learning outcomes

The student learns the methods used in analyzing gene expression and regulation data on a genomic scale, and the main genetic approaches for identifying gene interactions.

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Course delivery

Formal lessons and seminars/short presentations held by students.

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Learning assessment methods

Written tests, including writing of a synthetic research proposal, and oral presentation of an article from the literature (see each module for details).

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Program

See the program of each module.

Suggested readings and bibliography

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Note

Le modalità di svolgimento dell'attività didattica potranno subire variazioni in base alle limitazioni imposte dalla crisi sanitaria in corso. In ogni caso è assicurata la modalità a distanza per tutto l'anno accademico.

The way of carrying out the teaching activity might undergo variations due to limitations imposed by Covid19 pandemia. In any case, the distance learning modality is guaranteed for the whole academic year.

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Moduli didattici

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Last update: 28/10/2021 14:41
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