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COMPUTATIONAL GENOMICS AND GENE NETWORKS
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COMPUTATIONAL GENOMICS AND GENE NETWORKS
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Academic year 2023/2024
- Course ID
- BIO0154 Pds 308-BIDD
- Teachers
- Emanuela Tolosano (Lecturer)
Emilio Hirsch (Lecturer)
Paolo Provero (Lecturer)
Davide Marnetto - Degree course
- [0101M22] Molecular Biotechnology
- Year
- 1st year
- Teaching period
- First semester
- Type
- Distinctive
- Credits/Recognition
- 10
- Course disciplinary sector (SSD)
- BIO/13 - experimental biology
- Delivery
- Formal authority
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Written and oral
- Type of learning unit
- corso
- 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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Program
See the program of each module.
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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).
Suggested readings and bibliography
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Teaching Modules
- Computational Genomics and Epigenomics (BIO0154A Pds 308-BIDD)
- Interactions and Gene Networks (BIO0154B Pds 308-BIDD)
- Enroll
- Open
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