- Docente: Silvio Cavalcanti
- Credits: 2
- SSD: ING-INF/06
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
- Corso: Second cycle degree programme (LS) in Biomedical Engineering (cod. 0235)
Learning outcomes
The course prepares the student to develop bioinformatics tools for the analysis of proteins and DNA. Students will learn maths and statistical methods to predict the functional and structural features of DNA/RNA and proteins. Furthemore they will acquire methods to analyse DNA micro-arrays data oriented to biomedical applications.
Course contents
Patterns and functional motifs
Motifs' Sensitivity and specificity;
Motifs' predictions methods;
Research of coding regions in genomic sequences
Proteins structural analysis
Structural similarity (DALI, SSAP, CE);
Prediction methods for secondary (PHD, PSIPRED, PREDATOR, JPRED) and tertiary (Homology modelling Threading) structure;
Elements of functional genomic;
Gene network;
Algorithms for gene cluster;
Machine learning;
Models of transcriptional regulation.
Readings/Bibliography
D.E. Krane & M.L. Raymer “ Fondamenti di bioinformatica”, Ed. Pearson 2007.
G. Valle et al. "Introduzione alla Bioinformatica", Ed. Zanichelli 2003.
B. Alberts et al. "Biologia Molecolare della Cellula", Ed. Zanichelli 2004.
Teaching methods
Lectures and seminars. Lab practicals.
Assessment methods
Interview at the end of the course.
Office hours
See the website of Silvio Cavalcanti