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Topics & Lectures

Biogeochemistry - Mustafa Yücel

Lecture 1: Biogeochemistry I

Evolution of metabolism and emergence of biogeochemical cycles coupled to Earth Evolution.

Formation of Earth and differentiation of elements, the formation of atmosphere and oceans, early ocean geochemistry and emergence of life, the establishment of cycles of metals, sulfur, nitrogen and phosphorus,  metabolism and enzymes

Lecture 2: Biogeochemistry II

Modern elemental biogeochemical cycles in the Earth System. Global cycles, photosynthesis vs respiration, redox-dependent metabolic processes, and a special lecture on the biogeochemistry of Turkish Seas.

Lecture 3: Biogeochemistry III

Deep-Sea Ecosystems. Seafloor sediments and benthic ecosystems, hydrothermal vents and cold seeps, chemosynthesis-based ecosystems, sustainability issues of seafloor resource utilization and Blue Growth

Molecular Ecology - Arzu Karahan 

Lecture 1: Molecular Ecology Markers

Molecular ecology markers and defining their application methods

Lecture 2: Studying ecologically important characters

Ecogenomics, QTL Analysis, and reverse genetics, connecting genotype to phenotype.

Lecture 3: Molecular Evolution and Genome Evolution

Which mutations are more important in the genome, which changes cause speciation?

Introduction to Quantitative Ecology - ÇaÄŸatay TavÅŸanoÄŸlu

Lecture 1: Experimental design in ecology

Experimental design, hypothesis testing, randomization, replicate, confounding effects. Relationship between statistical analysis and experimental design.

Lecture 2: Datatypes and analyses in ecology

Data types obtained from ecological research and statistical analysis approaches for different data types. Basic statistical analyses, general linear models, generalized linear models, mixed models.

Lecture 3: Analysis of ecological data

Using sample datasets, analyses in relation to previous lecture's subjects in the R environment.

Extending the evolutionary theory - Manolis Ladoukakis 

Lecture: The evolutionary theory is not restricted to explain the origin and diversification of life but it can be extended to any evolvable system such as microbial communities or languages.

Statistical analyses methods in community ecology: null model analyses using R - Korhan Ozkan

Lecture 1: Community ecology

Major concepts in community ecology

Lecture 2: Statistical methods in community ecology

A general overview of main statistical approaches in community ecology

Lecture 3: Null model analyses using R

Constructing null model analyses to test niche theories in a bird community

DNA-based taxonomy for ecological and evolutionary studies - Anna Papadopoulou

Lecture 1: DNA barcoding: main concepts, problems, and applications

The main concepts, problems, and applications of species identification using DNA barcodes will be explained and discussed and several practical examples will be provided.

Lecture 2:  Species concepts and DNA-based species delimitation

An overview of the 'species problem' and the major species concepts will be provided. The main ideas, problems and applications of DNA-based species delimitation will be explained and discussed.

Lecture 3: DNA-based species delimitation methods

Several single-locus and multi-locus DNA-based species delimitation methods will be presented and practical examples will be provided using case studies and sample datasets.

Coalescent theory and analysis of DNA sequence data - Ä°smail Kudret SaÄŸlam

Monday Lecture 1: Summarizing DNA sequence data and the coalescent with two gene copies

Lecture 1.1 - Summarizing DNA Sequence Data

Lecture 1.2 - Pi, S, and the SFS 

Lecture 1.3 Expected tMRCA With 2 Gene Copies

Lecture 1.4 Tajima’s Estimator

Monday Lecture 2:  Coalescent process with n gene copies

Lecture 2.1 - Coalescent Process With n Gene Copies

Lecture 2.2 - Expected tMRCA Of n Gene Copies and total tree length

Lecture 2.3 - Segregating Sites And Watterson’s Theta

Lecture 2.4 - The Derived SFS and Tajima’s and Watterson’s Thetas in WF Model

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Tuesday Lecture 1: Understanding selection and demography from the site frequency spectrum

Lecture 3.1 - Selection On SFS and Tajima's D

Lecture 3.2 - Coalescent Effective Population Size

Tuesday Lecture 2: Understanding selection and demography from the site frequency spectrum

Lecture 3.3 - SFS And Changing Population Size

Lecture 3.4 - Demography Vs Selection

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Metabarcoding Workflow: Field, Laboratory and Bioinformatics - Emre Keskin

Lecture 1: Metabarcoding Workflow I: Fieldwork planning and sampling.

What should be considered in sampling planning for metabarcoding studies will be explained. In this context, the sampling points to be selected, the number and amount of samples to be taken, how the samples will be transported and stored will be explained.

Lecture 2: Metabarcoding Workflow II: Laboratory workflow.

Before and when working in the laboratory for metabarcoding studies, the issues that need to be considered while working will be explained. In this context, primer design, extraction protocol, enzyme selection, what to consider, and how to plan for library preparation and sequencing will be explained.

Lecture 3: Metabarcoding Workflow III: Bioinformatics

For metabarcoding studies, how to analyze the raw data obtained after sequencing will be explained. In this context, reading quality thresholds, what errors are to be filtered, how to separate tagged/indexed samples, how to identify them using OTU clustering and reference databases will be explained.

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Social Evolutionary Theory and Evolutionary Game Theory - Erol Akçay

Lecture 1: Introduction to methods used in modeling social interaction's evolution.

Price equation, Hamilton's rule, Inclusive fitness

Lecture 2: Introduction to methods used in modeling social interaction's evolution. -- continuing

Multi-level selection, Selection in group-structured populations

Lecture 3:  Introduction to evolutionary game theory and its biological applications

Evolutionarily stable strategies, sequential and simultaneous games, the evolution of cooperation.

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Evolution of communication and bioacoustics, vocal sequence analysis,  - ÇaÄŸlar Akçay

Lecture 1: Animal communication and bioacoustics

Behavioral ecology of communication and introduction to the bioacoustic analysis 

Lecture 2: Bioacoustics and vocal sequence analysis

Vocal sequence models

Lecture 3: Bioacoustics and vocal sequence analysis 

Vocal sequence models and applications

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A general introduction to ancient DNA analysis - Nikos Psonis

Lecture: A general introduction to ancient DNA analysis: lessons from case studies.

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Comparison of binary sequences - Ogün Adebali

Lecture 1: Alignment of two sequences

Local and global alignment, Needleman-Wunsch, BLAST algorithms

Lecture 2: Multiple Sequence Alignments

Algorithms to align 3 or more sequences. AFFT, MUSCLE, T-COFFEE, CLUSTAL, Profile-based methods

Lecture 3: Phylogenetics 

Methods to create phylogenetic trees. UPGMA, Neighbor-joining, Maximum likelihood methods

Pavlos Pavlidis

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Forward genetic simulation analyses / SLiM - GülÅŸah Merve Kılınç

Lecture 1: Introduction to simulation analysis in population genetics

Importance of producing DNA sequence data for population genetics under various evolutionary and demographic scenarios.

Lecture 2:  Introduction to SLiM

 Introducing SLiM software, WF ve nonWF models

Lecture 3: Setting up a basic simulation scenario using SLiM.

Creating a simulation scenario.

Transcriptome comparisons in evolutionary analysis. - Mehmet Somel

Lecture 1: Introduction to transcriptome data. How is it produced and evaluated?

Searching varying phenotypes. Properties of RNA sequencing data. Information retrieval for adaptation from RNA sequencing comparisons between species.

Lecture 2: Transcriptome Data Analysis - Determining varying genes

Reading a published comparative transcriptome dataset in R environment. Determining genes varying between species. Using appropriate statistical tests and the importance of multiple test correction.

Lecture 3: Transcriptome Data Analysis - Determining varying pathways

Determining the frequent pathways of genes found in the previous lecture concentrate. Commentary on the results and discussion.

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You can download the course schedule from the "Concise Program" file below.

For detailed program you can download the excel file "Detailed Program".

Detailed program and lecture schedule can be downloaded here

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