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Scheda Riassuntiva
Anno Accademico 2015/2016
Tipo incarico Dottorato
Insegnamento 098895 - INTEGRATION AND COMPUTATIONAL ANALYSIS OF GENOMIC AND PROTEOMIC INFORMATION
Docente Masseroli Marco
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1380) - INGEGNERIA DELL'INFORMAZIONE / INFORMATION TECHNOLOGYAZZZZ098895 - INTEGRATION AND COMPUTATIONAL ANALYSIS OF GENOMIC AND PROTEOMIC INFORMATION

Programma dettagliato e risultati di apprendimento attesi

II° period: from June 14th to July 21st

 

Course description

The course addresses principles, methods, technologies and informatics instruments for the integration and computational analysis of the numerous and different biomedical knowledge data available from various distributed sources. The application aim is leveraging on the integrated analysis of the available scattered, noisy and still partial bio-medical-molecular information to increase their global quality and predictive power in support to the biomedical interpretation of the great amount of genomic and proteomic experimental data increasingly produced.

Special attention is devoted to the pattern-based similarity search in genomic data and the bio-terminologies and bio-ontologies used to represent the current bio-medical-molecular knowledge about genes and proteins in different organisms. It will be highlighted as their management and analysis with data base, information theory, data mining, graph theory and other bioinformatics engineering approaches can greatly contribute to increase the available biomedical knowledge and to foster a better health treatment.

 

Syllabus

- Molecular Biology introductive concepts
- Bio-terminologies and bio-ontologies
- Genomic and proteomic databanks and data integration approaches
- Data mining and pattern-based analysis on genomic data
- Ontology-base bioinformatics applications
   - Data integration and access
   - Data reasoning

 

Prerequisites

None; in the first part of the course the biological concepts required to understand motivations and aims of the data integration and computational methodologies presented during the course will be introduced.

 

Schedule

The course will be held mainly in the Seminar room on the ground floor of the building 20 of the DEIB Department of Politecnico di Milano (https://www.google.it/maps/place/Edificio+20,+20133+Milano/@45.478676,9.2324779,18z/data=!4m2!3m1!1s0x4786c6f67b49349d:0x6336d483ae9f6f18), with the following schedule:

Tuesday    14/6/2016    10,00-12,30
Thursday   16/6/2016    10,00-12,30
Thursday   16/6/2016    16,00-18,30
Thursday   23/6/2016    10,00-13,00
Thursday   23/6/2016    16,00-18,00
Tuesday    28/6/2016    10,00-12,30
Thursday   30/6/2016    10,00-12,30
Thursday    7/7/2016      9,30-12,30
Tuesday    19/7/2016    10,00-12,30
Thursday   21/7/2016    10,00-12,00

 


Note Sulla Modalità di valutazione

Evaluation modalities

Evaluation is performed based on:

  • Lecture attendance and interaction with the lecturer during lectures
  • Individual presentation and discussion of papers, or a brief practical project, about a specific topic of interest presented during the course, agreed before the end of the course.

Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica
 

Bibliografia
Risorsa bibliografica facoltativaA.M. Lesk, Introduction to Bioinformatics. 3rd edition., Editore: Oxford University Press, New York, NY, Anno edizione: 2008, ISBN: 978-0-19-920804-3
Risorsa bibliografica facoltativaC.M. Bishop., Pattern Recognition and Machine Learning., Editore: Springer, New York, NJ., Anno edizione: 2007, ISBN: 978-0-387-31073-2
Risorsa bibliografica facoltativaC.J.O. Baker, K-H. Cheung, editors, Semantic web. Revolutionizing knowledge discovery in the life sciences, Editore: Springer, New York, NJ, Anno edizione: 2007, ISBN: 978-0-387-48836-5

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
25.0
esercitazione
0.0
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
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese

Note Docente
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
19/11/2019