logo-polimi
Loading...
Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2014/2015
Tipo incarico Dottorato
Insegnamento 096698 - GENOMIC COMPUTING
Docente Masseroli Marco
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1300) - SCUOLA DI DOTTORATOAZZZZ096698 - GENOMIC COMPUTING

Programma dettagliato e risultati di apprendimento attesi

INTRODUCTION

This course provides an introduction to genomic computing, i.e. the application of computer engineering and mathematics to genomics, with an emphasis on concrete technologies and hands-on practice. It is intended for first-year PhD students who will focus their research on bioinformatics, but it can be followed by PhD students and researchers of DEIB, MAT and other departments who wish to broaden their culture.

The course will start by familiarizing students on the foundational molecular biology concepts (encoding of information in the DNA sequences and its functional use at the genomic, epigenomic, transcriptomic and proteomic levels), as well as on the DNA/RNA sequencing techniques (including the novel Next Generation Sequencing – NGS). Then, current sequencing data standards and tools for their (pre)processing and visualization will be presented, with emphasis on info-math issues related to their management and analysis.

 

MISSION AND GOALS

An introduction to Genomic Computing, i.e. the application of computer science and mathematics to genomics. Intended for first-year PhD students who will focus their research on biological problems, as well as for students who wish to broaden their culture. 

 

SUBJECT OF THE COURSE

-    Foundations of biology, with emphasis on defining info-math problems

-    DNA Next Generation Sequencing (NGS) and tools for DNA and NGS data visualization and browsing

-    Current bioinformatics data management technology and standards

-    NGS data processing and analysis

 

TEACHING MATERIALS

Required and suggested readings will be distributed to students ahead of time

 

LECTURERS
(in alphabetic order)

- Marco Masseroli, Ph.D.
        Dipartimento di Elettronica, Informazione e Bioingegneria - Politecnico di Milano (http://www.bioinformatics.polimi.it/masseroli/)

- Heiko Muller, Ph.D.
        Istituto Italiano di Tecnologia - SEMM, Milano (http://www.iit.it/it/persone/heiko-muller.html)

- Fernando Palluzzi
        Dipartimento di Elettronica, Informazione e Bioingegneria - Politecnico di Milano (http://dottoratoit.deib.polimi.it/?id=5004&idd=373)
        
- Mattia Pelizzola, Ph.D.
        Istituto Italiano di Tecnologia - SEMM, Milano (http://www.iit.it/it/persone/mattia-pelizzola.html)

- Laura Riva, Ph.D.
        Istituto Italiano di Tecnologia - SEMM, Milano (http://www.iit.it/en/people/laura-riva.html)

 


Note Sulla Modalità di valutazione

The course evaluation will be of practical nature: students will be asked to replicate offline some of the work performed in class upon a small sample of genomic data and to present the result of their work to the course instructors. The number of seats for practice sessions is limited to 25. Students who wish to enroll should send an email to Marco Masseroli.

 


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica
 

Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
15.0
esercitazione
12.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese

Note Docente
Schedule: 16-20 March, 2015 at Departimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano; see details at http://www.bioinformatics.deib.polimi.it/courses/PhD/genomic_computing/
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
22/02/2020