Computational genomics (2020/2021)

Course code
4S003667
Name of lecturer
Nicola Vitulo
Coordinator
Nicola Vitulo
Number of ECTS credits allocated
6
Academic sector
BIO/18 - GENETICS
Language of instruction
English
Location
VERONA
Period
II semestre dal Mar 1, 2021 al Jun 11, 2021.

Lesson timetable

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Learning outcomes

The advent of the new sequencing technology (Next Generation Sequencing, NGS) had a great impact on the ability to study genome complexity at genomic, transcriptomic and epigenetic level and provided interesting opportunities for the development of bioinfomatic resources for data analyses and management. The course will provide a general overview of the main computational methods based in NGS data that can be applied in genomic studies (mainly focused on the human genome) as for example , sequence alignment, genome sequencing, genome resequencing for the identification of variants, transcriptomic analysis for the identification of differentially expressed genes. At the end of the course the student should be able to: Know the main data file formats Know the different algorithm used in genomic studies and their applications Setting up a pipeline for data managing and analysis