Scheda insegnamento


L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.

Salute e benessere Istruzione di qualità

Anno Accademico 2021/2022

Conoscenze e abilità da conseguire

At the end of the course, the student acquires expertise in designing, implementing and curating data bases. The student will also be trained on the major biologically and medically oriented public data bases and how to retrieve and extract information for problem solving. Major tools accessible from specific data bases will be also utilized in order to facilitate information retrieval and data analysis.


Module 1  (3.5 CFU, 28 ore, docente: Prof. M. Paola Turina)

- Introduction to biomedical databases.

- Overview and training on the UniProt database.

- Overview and training on the molecular structure database PDB at RCSB. Training on molecular visualization software.

- Overview and training on the NCBI databases: Genbank, Refseq, dbSNP, Gene, PubMed/MeSH, OMIM.

- Overview and training on the EnsEMBL Genome database.


Module 2  (2.5 CFU, 20 ore, docente: Prof. Davide Salomoni)

- Introduction to databases; structure, contents, general features

- Relational databases

- Non-relational databases (including key-value and graph databases)

- Streaming biological data into databases

- How to programmatically interact with databases: data retrieval, annotation and analysis

- Create your own database


Online materials and other suggested readings will be indicated during the course.

Metodi didattici

Lectures and hands-on activities.


Modalità di verifica e valutazione dell'apprendimento

A written test, a personal project, and a final oral discussion.

Strumenti a supporto della didattica

Slides of all lectures and hands-on sessions will be available.

Orario di ricevimento

Consulta il sito web di Maria Paola Turina

Consulta il sito web di Davide Salomoni