- Docente: Emidio Capriotti
- Credits: 4
- SSD: BIO/10
- Language: English
- Teaching Mode: Blended Learning
- Campus: Bologna
-
Corso:
Second cycle degree programme (LM) in
Bioinformatics (cod. 8020)
Also valid for Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
Learning outcomes
At the end of the course, the student has a description of new approaches and algorithms to cope with the future of Biological Science. The student acquires the know-how of: -The frontiers of Structural and Functional Genomics; - Data integration, knowledge mining and visualization of Systems Biology data; - Synthetic Biology: putting engineering into biology; - Modelling the data: towards a reconstruction of biological systems; - Synthetic Biology: how to mimic biological functions.
Course contents
The course focuses on the development of bioinformatics methods, starting with the definition of computational problems derived from biological questions and the selection of appropriate algorithmic approaches, such as heuristic, exact or machine learning-based methods. Participants will explore the design and implementation of these methods respecting best programming practices.
The programme also emphasises criteria for selecting high-quality benchmarking datasets, including public archives and simulated data, as well as validation techniques and performance metrics. Furthermore, participants will learn how to compare the performance of various methods and critically evaluate the robustness of benchmarking experiments.
Readings/Bibliography
Selected reviews on topics and tools in bioinformatics and computational biology.
Teaching methods
Lectures from experts in the field of bioinformatics and computational biology and lectures and from invited speakers of the Bologna Winter School.
Assessment methods
Presentation of a research or review article on selected topics.
Teaching tools
Online resources available through UNIBO platforms and public websites.
Office hours
See the website of Emidio Capriotti