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Methods in Computational Biology I
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Methods in Computational Biology I
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Academic year 2023/2024
- Course ID
- BIO0221A Pds GEN
- Teacher
- Davide Marnetto
- Degree course
- [0101M22] Molecular Biotechnology
- Year
- 2nd year
- Teaching period
- Second semester
- Type
- Elective
- Credits/Recognition
- 2
- Course disciplinary sector (SSD)
- BIO/11 - molecular biology
- Delivery
- Formal authority
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Written follewed by oral
- Type of learning unit
- modulo
- Modular course
- METHODS IN COMPUTATIONAL BIOLOGY (BIO0221 Pds GEN)
- Prerequisites
- Please refer to the integrated course.
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Sommario del corso
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Course objectives
Please refer to the integrated course.
Si prega di consultare il corso integrato.
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Results of learning outcomes
Please refer to the integrated course.
Si prega di consultare il corso integrato.
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Program
Methods to analyze genetic variation
- Introduction to genetic variation: allele and genotype frequency, nucleotide diversity, heterozygosity, Hardy-Weinberg Equilibrium
- Genetic Drift and its implications: the Wright-Fisher model
- Population structure: isolation by distance, Fst and Wahlund effect
- Visualizing genetic diversity: Principal Component Analysis
- Recombination, Linkage Disequilibrium and haplotypes
- computational methods in the analysis of Archaic human genomes
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Course delivery
Please refer to the integrated course.
Si prega di consultare il corso integrato.
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Learning assessment methods
Please refer to the integrated course.
Si prega di consultare il corso integrato.
Suggested readings and bibliography
- Enroll
- Closed
- Enrollment opening date
- 01/03/2020 at 00:00
- Enrollment closing date
- 31/12/2022 at 23:55
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