The Advanced Training Course in Bioinformatics is the result of a collaboration between Sapienza's Department of Biochemical Sciences "A. Rossi Fanelli" and the CNR's Institute of Molecular Biology and Pathology.
It involves faculty members from Sapienza University of Rome, CNR and other scientific institutions.
The advanced course, with several hands-on sessions, consists of lectures and practical activities (totalling about 160 hours, or 20 ECTS credits), including a series of thematic seminars. The preferred mode for attending lectures is in person. Nevertheless, the option for remote participation is available in case of any impediment. For remote attendance, however, an adequate internet connection and an active video camera are required.
It is expected that participants will complete a short data analysis project to be discussed at the end of the course.
The class schedule for the 2023/2024 academic year is being prepared, and will soon be made available here.
The list of admitted students will be published at the following link of Sapienza University website:
https://www.uniroma1.it/it/offerta-formativa/corso-di-alta-formazione/2024/bioinformatica
Key dates and deadlines:
Application deadline: December 20, 2023
Publication of admitted students list by January 9, 2024
Payment of first enrollment installment by January 15, 2024
Expected start of classes: February 2024
End of classes: September 2024
Final discussion: October 2024
Course announcement and enrollment instructions: https://www.uniroma1.it/it/offerta-formativa/corso-di-alta-formazione/2024/bioinformatica
Maximum number of participants: 16
Minimum number of participants required for course activation: 10
Final listing rank of admitted students will take into account both fulfillment of requirements and order of enrollment.
Admission candidate are required to hold a Master's degree or equivalent from the following classes:
Biology LM-6
Agricultural biotechnology LM-7
Industrial biotechnology LM-8
Medical, veterinary and pharmaceutical biotechnology LM-9
Pharmaceutical Chemistry and Technology LM-13
Pharmacy and industrial pharmacy LM-13
Medicine and surgery LM-41
Veterinary medicine LM-42
Chemical sciences LM-54
Nature sciences LM-60
Forestry and environmental sciences and technologies LM-73
Agricultural sciences and technology LM-69
Food science and technology LM-70
Livestock science and animal technology LM-86
Industrial chemistry science and technology LM-71
Environmental and territorial sciences and technologies LM-75
Sciences of technical health professions LM/SNT3
Preventive health professions sciences LM/SNT4
Admission of candidates holding a Master's degree from other classes may also be considered, for individual cases, by the selection committee.
The Advanced Training Course in Bioinformatics aims to provide skills necessary for the use of advanced computational techniques in the analysis of biological macromolecules.
Specifically, participants will acquire theoretical knowledge and practical skills for the analysis of data characterizing the following research areas:
genomics and transcriptomics
structural bioinformatics
protein interactions
drug design
biological networks
The Advanced Training Course is aimed primarily at individuals already in a production or research context in the biotechnology area interested in integrating their knowledge for the purpose of professional growth.
The Course is also usable by recent graduates in the indicated disciplines (see: Admission Requirements) interested in expanding or deepening the knowledge acquired during their university training.
Further information:
Admission to the course will be decided by a committee that will evaluate applicants based on the CV and qualifications submitted. Consistency of the candidate's profile with the goals and objectives of the course, together withthe order of enrollment, will be the main criterion for selection.
Attendance of at least 75 percent of the total number of hours is required to obtain the certificate of participation.
The certificate of attendance will be issued following collegial discussion of the project carried out.
There are no exams at the end of the training modules.