Analisi di dati Multi-omics da single-cell
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Primo semestre dal Oct 3, 2022 al Jan 27, 2023.
Knowledge and understanding The course aims to provide students with the knowledge and understanding of the algorithms and advanced programming tools for the management of single cell and spatial transcriptomic data. Applying knowledge and understanding The student will therefore be able to a) apply the algorithms and advanced programming tools for the analysis of single cell and spatial transcriptomic data; b) apply the code performance analysis and identify critical issues and their optimization. Making judgements Ability to independently propose effective and efficient solutions for the biomedical and bioinformatics application domain; ability to identify critical issues for the treatment of complex bioinformatics problems related to the analysis of single cell and spatial transcriptomic data. Communication The student will also be able to interact with various interlocutors in a multidisciplinary biomedical and bioinformatics context, to interact with colleagues in the performance of group work, and to interact with the interlocutors in the working or research environment. Lifelong learning skills Ability to understand scientific literature in the process of interpreting the results or proposed solution, and to carry out individual and group in-depth studies aimed at tackling problems from the research and business world.
Prerequisites and basic notions
Conceptual and practical notions of programming languages
Data structures and algorithms to analyze:
- single cell data,
- spatial transcriptomics data
- multimodal omics
Application on real studies presented by Bio / Med experts in the sector.
Deepening through seminars by international experts on computational aspects and data production technologies.
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.
Students will follow theoretical lessons and exercises whose content will be provided via notebook or R Markdown. Students will install and use the software related to the chosen topics and will analyze real cases.
Learning assessment procedures
Development of a project in the classroom (or remotely to be evaluated with the teacher).
Explanation, through presentation and demo, critical and detailed, of the methodologies used for the development of the project and of the biomedical results obtained. The presentation can take place in front of experts of the applications dealt with.
Criteria for the composition of the final grade
The grade is composed of the evaluation of three factors: autonomy, competence, critical sense that the student has shown during the development of the project and during the presentation.