Modules running in the period selected: 11.
Click on the module to see the timetable and course details.
Course | Name | Total credits | Online | Teacher credits | Modules offered by this teacher |
---|---|---|---|---|---|
PhD in Computer Science | Algorithms for Single cell data analysis (2021/2022) | 3 | 3 | ||
Master's degree in Medical Bioinformatics | Programming laboratory for bioinformatics (2020/2021) | 12 |
![]() |
6 | (Teoria) |
6 | (Laboratorio) | ||||
Master's degree in Medical Bioinformatics | Programming laboratory for bioinformatics (2019/2020) | 12 |
![]() |
6 | (Teoria) |
6 | (Laboratorio) | ||||
PhD in Computer Science | Attività didattica dottorato (2019/2020) | 50 |
![]() |
1 | |
Master's degree in Medical Bioinformatics | Programming laboratory for bioinformatics (2018/2019) | 12 |
![]() |
6 | (Teoria) |
6 | (Laboratorio) | ||||
Master's degree in Medical Bioinformatics | Programming laboratory for bioinformatics (2017/2018) | 12 |
![]() |
12 | |
Bachelor's degree in Bioinformatics | Information recognition and retrieval for bioinformatics (2016/2017) | 12 |
![]() |
1 | (Teoria) |
Master's degree in Medical Bioinformatics | Programming laboratory for bioinformatics (2016/2017) | 12 |
![]() |
12 |
Topic | Description | Research area |
---|---|---|
Bioinformatics and Natural Computing | Our research is mainly focused on the following topics: 1) Discrete and algorithmic analyses of biological dynamics (metabolism and replication, and their interplay in cellular processes); 2) Informational and computational analysis of genomes (genomic dictionaries, genomic indexes, genomic distributions of specific parameters, genome representations, genome synthesis and reconstruction from dictionaries). In these research areas, theories and algorithms are investigated and software packages are developed for computational experiments and analyses. |
Bioinformatics and medical informatics
Life and medical sciences |
Systems Biology, Computational Network Biology | Design of algorithms and methods to understand biological systems using data mining and bioinformatics techniques. The focus is on biological network modeling, perturbation and analysis; classification of phenotypes by coding and non-coding expression profiles; drug synergy and mechanism of action by drug target/off-target/combination prediction. |
Bioinformatics and medical informatics
Life and medical sciences |