Introduction to Bioinformatics and the Use of Hpc Clusters

A.Y. 2024/2025
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
3
ECTS
18
Overall hours
Lesson period
May 2025
Language
English
Lead instructor: Filippo Geuna
The course will provide an introductory and hands-on approach to the main bioinformatic tools for genome data analysis including the use of the INDACO high-performance computing (HPC) cluster.
The course includes lectures and computer exercise.

Program
- Review of research methods and technologies and use of molecular markers.
- Practical examples of application of the tools described above in model species.
- Methods of bioinformatic analysis of genomes.
- Introduction to the main packages of interest for bioinformatics applications.
- High-performance computing infrastructures (HPC) and examples of use of the INDACO university platform.
- During the course, consultation texts, original articles, multimedia material and the PDF files containing the material illustrated in class and the subject of the practical exercises updated every year are suggested, which the student can download from the teacher's personal website.
Students are expected to be familiar with basic genomics, and molecular biology concepts.
Students should already have knowledge of genetics, and molecular biology.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol

Deadlines

The course enrolment deadline is usually the 27th day of the month prior to the start date.

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.

Contacts

For help please contact [email protected]

Professor(s)
Reception:
Free upon request by email
Dipartimento di Scienze Agrarie ed Ambientali (DISAA) letter "I" - Sezione di Coltivazioni Arboree" at page: https://www.unimi.it/sites/default/files/2019-01/SAAA_mappa_facolta.pdf