Information Package / Course Catalogue
Genetic Markers
Course Code: MBTK641
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 10
Objectives of the Course

To introduce the students basic models of population genetics, to inform about computer programs used for population genetics, to provide interpret results and to analyze by integrating computer programs with population genetics models by using data set of students.

Course Content

Hardy Weinberg principle and applications, Fixation index and heterozygosity, Genetic migration and efficient population size, Mutations, Natural selection and models, Quantitative trait variation and evolution, Mendelian basis of quantitative trait variation, Application of population genetics: use of Bioedit, Microchecker, DNAsp, Arlequin, Migrate, Genepop, Popgene, Structure programs

Name of Lecturer(s)
Prof. Seda ÖRENAY BOYACIOĞLU
Learning Outcomes
1.To learn genetic factors like mutation, migration and selection that contributes to genetic differentiations within a population and among populations
2.To learn heterozygosity and Hardy-Weinberg unequilibrium
3.To learn population structure
4.To learn to gene fixation and gen flow among populations
5.To learn to use population genetic programs
6.To interpret about the population by detecting/calculating effect to population of environmental and external influences with interacting organisms, population demography on the sample data by using computer programs
7.To plan future studies on any organisms
Recommended or Required Reading
1.Richard Frankham, Jonathan D. Ballou, David A. Briscoe. Introduction to Conservation Genetics, Cambridge University Press, 7th edition, 2007
2.Jon C. Herron, Scott Freeman. Evrimsel analiz, Palme Yayıncılık, 2009
Weekly Detailed Course Contents
Week 1 - Theoretical
Bioinformatics and usage areas: Who can use it? How it can be use? What purpose can it be used?
Week 2 - Theoretical
Examination of biological databases
Week 3 - Practice
Basic methods 1: polymerase chain reaction, RAPD
Week 4 - Practice
Basic methods II: Allozym RFLP and AFLP
Week 5 - Practice
Basic methods III: Microsatellites, mtDNA, SNP and DNA sequence analysis
Week 6 - Theoretical
DNA/protein database and usage strategies
Week 7 - Practice
DNA/protein database and usage strategies
Week 8 - Theoretical
Multiple sequence analysis - comparison-I (Midterm exam)
Week 9 - Theoretical
Multiple sequence analysis - comparison-II
Week 10 - Theoretical
Moleculer Phylogeny
Week 11 - Practice
Phylogenetic tree construction
Week 12 - Practice
Population genetics
Week 13 - Practice
Bioinformatic methods for RNA
Week 14 - Practice
Microarray data analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment601378
Term Project30618
Laboratory50210
Individual Work130565
Quiz60318
Midterm Examination1033
Final Examination1033
TOTAL WORKLOAD (hours)251
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
5
5
3
5
5
3
4
4
4
4
3
3
5
OÇ-2
5
5
3
5
5
3
4
4
4
4
3
3
5
OÇ-3
5
5
3
4
4
3
5
5
5
5
3
3
5
OÇ-4
5
5
3
4
4
3
5
5
5
5
3
3
5
OÇ-5
5
5
3
4
4
3
5
5
5
5
3
3
5
OÇ-6
5
5
3
4
4
3
5
5
5
5
3
3
5
OÇ-7
5
5
3
4
4
3
5
5
5
5
3
3
5
Adnan Menderes University - Information Package / Course Catalogue