Computational Approaches for Omics Data
A.Y. 2025/2026
Learning objectives
The objective of the course is to introduce the fundamentals of modern analysis in genomics and transcriptomics, and the most relevant and widely used approaches to the bionformatic analysis of data derived from the sequencing of nucleic acids (DNA and RNA).
Expected learning outcomes
At the end of this class , the students are expected to obtain an in-depth knowledge on the most widely used platforms for DNA and RNA sequencing; know theory and practice of the main bioinformatic approaches to the assembly and annotation of genomic sequences; know theory and practice of bioinformatic approaches to variant calling in genomic sequences; know theory and practice of the most widely used bioinformatic pipelines for the characterization and quantification of RNAs, also at the single cell level.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
INF/01 - INFORMATICS - University credits: 6
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 6
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 6
Lessons: 96 hours
Professor:
Cereda Matteo
Shifts:
Turno
Professor:
Cereda MatteoProfessor(s)