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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Animal and Veterinary Science
Semester:
1st Semester
Teaching Languages:
English
Campus:
Rehovot
Course/Module Coordinator:
Dr. Ehud Elnekave
Coordinator Office Hours:
By appointment
Teaching Staff:
Dr. Ehud Elnekave
Course/Module description:
Molecular epidemiology of Bacterial pathogens of livestock origin– Genetic Data Analysis of whole genome sequences of bacteria - Phylogenies, Evolution and Antimicrobial Resistance. Theory and practice.
Course/Module aims:
1. Presenting molecular epidemiology as a tool for analyzing genetic data of bacteria of livestock origin
2. How to interpret phylogeny trees
3. Basic genetic analysis on different modules – hands on
4. Analyzing big datasets using R – hands on
5. Bayesian analysis to determine the evolution of bacteria – hands on using BEAST software
Learning outcomes - On successful completion of this module, students should be able to:
As part of the course, students will learn and experience using different tools such as R and BEAST.
Attendance requirements(%):
100%
Teaching arrangement and method of instruction:
The course includes frontal lectures and hands on computational work
Course/Module Content:
1. Introduction to molecular epidemiology – lecture (week 1)
2. Introduction to phylogenetic analysis – lecture (week 2)
3. Whole genome sequencing of bacterial genomes – lecture (week 3)
- The sequencing processes
- Sequencing methods
- Sequencing outputs
- Quality control
- …
4. Phylogenetic trees – lecture and hands on (weeks 4-6)
- Trees reconstruction methods
- Bootstrapping
- Reference based vs. core genome
- Rooted vs. unrooted trees (outgroup selection)
- …
5. Genome Assembly – lecture and hands on (week 7)
- Why and how to assemble genomes
- Genome annotation
- Antimicrobial resistance genes detection
- Genotypic characterization – MLST, in silico serotyping
- …
6. Large databases analysis using R – lecture and hands on (weeks 8-9)
- Data wrangling
- Basic presentation of data in R – scatterplots, histograms, etc.
- 'for' and 'while' loops
- …
7. Bacterial evolution – using BEAST– lecture and hands on (weeks 10-11)
- Time scaled phylogenies
- Transmission of pathogens (who gave it to whom?)
8. Summary/literature review (weeks 12-13)
Required Reading:
Scientific papers will be provided.
Additional Reading Material:
• David A Baum; Stacey D Smith. “Tree thinking: an introduction to phylogenetic biology”. Greenwood Village, Colo.; 2013
• Barry G. Hall. “Phylogenetic trees made easy: a how-to manual for molecular biologists”. Sunderland, Mass.; 2001
• Paul G. Higgs; Teresa K. Attwood. "Bioinformatics and molecular evolution". Blackwell science ltd.; 2005
• Alexei J. Drummond and Remco R. Bouckaert. “Bayesian Evolutionary Analysis with BEAST” (2). Cambridge University Press; 2015 (1st edition)
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 60 %
Project work 0 %
Assignments 40 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
- The course will be n English unless all students are Hebrew speaking
- A laptop with windows 10 system is required
- No need to bring your own set of data
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