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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Genetics & Breeding
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Rehovot
Course/Module Coordinator:
Uri Lavi
Coordinator Office Hours:
allways
Teaching Staff:
Prof Uri Lavi,
Dr. Giora Benari
Course/Module description:
Polymorphism at both the phenotypic and the genotypic levels; Various types of DNA markers; The genetic basis for application of DNA markers; Estimation of genetic variation and genetic distances between and within populations; Application of DNA markers for identification of individuals, populations and species; High-throughput genotyping of DNA markers; Principals of Linkage Analyses ; Genetic structures of Mapping Populations ; Generation of genetic maps; Applications of DNA markers for forensic purposes, disease diagnosis, breeding and identification of genes; Statistical methods for genetic mapping; Data-Bases of DNA sequences and patterns of gene expression; Sequencing methodologies and Comparative Mapping ; Identification of single genes and Quantitative Trait Loci - QTLs; Genome Wide Association Studies - GWAS; Statistical significance in multi-testing; Genomic selection;
Course/Module aims:
Characterization and description of the variation in the DNA.
Present the tools used to characterize variations of DNA.
Present the various applications in the fields of DNA identification and detection of genes both for agricultural purposes and for medical purposes.
Present the different methods to detect genes.
Being familiar with various software used for detecting DNA variations and their applications.
Learning outcomes - On successful completion of this module, students should be able to:
Being acquainted with various methods used for characterization of DNA variations.
Being able to apply computer programs for searching DNA variations
Identify individuals and populations
Generation of phylogenetic trees
Apply the methods learned in the course
Attendance requirements(%):
100
Teaching arrangement and method of instruction:
Lectures and exercises in computer class
Course/Module Content:
1.Introduction - Polymorphism, genetic linkage,DNA markers
2. multisite Markers
3.SSR and SNP
4.Identifying individuals and populations, evaluation of genetic variation and phylogenetic trees
5.Genomic infrastructure
6.LOD-Score, maximum visibility, identifying individual genes
7.QTL QTG QTN detection
8.Applications and limitations of DNA variations
9.Detection of genes through variance
10.Using DNA chips and comparison to Deep sequiencing
11.QTL validation, regression analysis to estimate the effect of QTL, FDR calculation
12.Mapping
13.Innovative approaches to illustration genes.
Required Reading:
Each year there is a discussion of one scientific paper (mandatory reading)
Additional Reading Material:
In course site
Course/Module evaluation:
End of year written/oral examination 70 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 15 %
Reports 0 %
Research project 0 %
Quizzes 15 %
Other 0 %
Additional information:
None
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