Introduction to the UNITECH infrastructures for biomedical research

A.Y. 2021/2022
Course offered to students on the PhD programme in
2
ECTS
16
Overall hours
Lesson period
July 2022
Language
English
Lead instructor: Donatella Maria Caruso
Unit 1: OMICS infrastructure for proteomics, lipidomics and metabolomics
The unit will focus on the different approaches used in the study of omics sciences mass spectrometry-based. In addition will be presented the analytical tools for the target and untarget metabolomics. A visit of the unitech OMICs will complete the Unit.

Unit 2: INDACO infrastructure for high-performance computing, molecular modeling, drug design and big data analysis
This unit will introduce students to the bases of high-performance computing, with particular attention to molecular modeling of proteins for biochemistry, biotechnology and pharmacology, to drug design for the rational development of novel bioactive compounds, and to big data analysis for "omics" sciences and statistics. A practical part (EOPS) with the possibility to directly operate on INDACO is included in the present unit.

Unit 3: NoLimits infrastructure for live and high resolution imaging.
The unit will focus on different approaches used in the field of confocal and electron microscopy. In particular, the use of live imaging and super-resolution (SIM) imaging will be also described.

At the end of the course, a common meeting will be scheduled to discuss the interaction between the UNITECHs and to allow the verification of the learning outcame.
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol

Deadlines

The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • 27 December 2021 for courses starting in January 2022
  • 25 January 2022 for courses starting in February 2022
  • 25 February 2022 for courses starting in March 2022.

Deadlines for enrolment in other courses will be announced as soon as possible.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.

Contact

For help please contact [email protected]

Professor(s)
Reception:
On Mondays, Wednesdays and Fridays from 9 to 10 am and on appointment previously taken via Microsoft Teams or email
Microsoft Teams
Reception:
Monday 9.00 a.m.
Via Balzaretti 9, DiSFeB