OBIETTIVI E CONTENUTI

OBIETTIVI FORMATIVI

Alla fine del corso gli studenti dovranno essere capaci di utilizzare strumenti opensource per la gestione dei dati biologici, capire e consultare banche dati (genebank, NCBI, Uniprot, ecc) accedendovi anche da appositi pacchetti R. Sarà inoltre capace di capire i processi biologici alla base della trascrizione e la traduzione cellulare, per capire l'utilità dell'analisi dei dati genomici, trascrittomici e proteomici attraverso strumenti bioinformatici.

OBIETTIVI FORMATIVI (DETTAGLIO) E RISULTATI DI APPRENDIMENTO

Students will be provided with the basic informatic and biochemical knowledge (including molecular biology, genetics, organic chemistry, statistics and programming) essential to face complex data management problems such as predictions, gene regulation, protein-protein communication networks, as well as to use the available databases effectively / efficiently.

PREREQUISITI

• Basic knowledge of Chemistry: structure of matter, inter / intramolecular bonds, energy potentials
• Basic knowledge of biology: meaning of Mendelian genetics, the concept of evolution, nucleic acids, proteins.
• Data management and analysis
• Knowledge of logic programming

MODALITA' DIDATTICHE

48 hours of classroom lessons, unless otherwise indicated by the Ministerial guidelines

PROGRAMMA/CONTENUTO

Biological basis for Bioinformatics

Basic notions of organic chemistry and molecular biology

Notions of Genetics.

gene sequences and evolution: point mutations, gene duplication, chromosomal rearrangement

Databases of biological interest

Web platforms: EnsEMBL, GenBank, Genome Browser

Sequence Alignment (Alignment of Sequence Pairs, Alignment Algorithms, Scoring of an alignment)

Homology, identity, and similarity of genes

Similarity matrices of scoring and substitution, BLAST

Clustal. Algorithm.

Gene regulation and differential analysis

The 20 amino acids: chemical-physical characteristics, one and three letters code.

Elements of Protein Structure and prediction.

Databases of protein structures: Uniprot, Protein Data Bank, Expasy proteomics tools.

Molecular dynamics and docking simulation software

Use of R language and Bioconductor libraries

TESTI/BIBLIOGRAFIA

• Bibliography
  • Paul M. Selzer, Richard J. Marhöfer, Oliver Koch. Applied Bioinformatics. Springer International Publishing AG. Available online at the link: https://link.springer.com/book/10.1007/978-3-319-68301-0
  • Slides provided by teachers

DOCENTI E COMMISSIONI

Commissione d'esame

CAMILLO ROSANO (Presidente)

GABRIELA FERNANDA CORONEL VARGAS

VITTORIO SANGUINETI (Presidente Supplente)

LEZIONI

INIZIO LEZIONI

https://corsi.unige.it/11159/p/studenti-orario

Orari delle lezioni

L'orario di questo insegnamento è consultabile all'indirizzo: Portale EasyAcademy

ESAMI

MODALITA' D'ESAME

• Didactic methods
  • 48 hours of classroom lessons, unless otherwise indicated by the Ministerial guidelines
     
• Method of examination
  • Presentation of a project work, and oral exam

MODALITA' DI ACCERTAMENTO

• Assessment method

The practical test aims to verify students’ acquired knowledge of basic bioinformatics notions, and their ability to face up a bio-chemical problems by consulting databases and using open source informatic tools available in scientific bibliography.

The oral exam will mainly focus on the topics covered during the lectures and must confirm that the student has acquired the basic notions (biological, chemical and IT) provided by the course.

Calendario appelli