When did the program initiate?

Kadir Has University, Department of Bioinformatics and Genetics started to accept undergraduate students in 2013-2014 fall.
For further information you can visit our Bologna page:
http://bologna2.khas.edu.tr/program/50000634

What is the purpose of the program?

The purpose of our department is to raise bioinformatics and genetics grads to serve the latest demands of the biotechnology.
The multidisciplinary nature of the field stands on three basis:

- Bioinformatics,
- Computational Biology and
- Genetics.

Bioinformatics is an interdisciplinary branch of science that analyzes the biological information systematically. Upon finalizing the Human Genome Project in 2001, bioinformatics was consolidated as a popular and highly needed branch of science. The consecutive improvements in the sequencing technologies and the drop in the sequencing cost highly favored the DNA and RNA sequencing applications. The data obtained is so massive and complex that it cannot be processed manually any more. Using computer skills and statistical methods, bioinformaticians get manageable systems and meaningful results out of massive biological data. For example, as a new trend, individuals started to sequence their own genome, yet do not know what to do with it. It’s trained bioinformaticians to obtain information out of raw data. The DNA/RNA arrays, chips, transcriptome and metagenomes are now widely applied techniques in fields such as cancer biology, personalized medicine, developmental biology etc. Indeed, all these techniques present nothing but data of billions of nucleic acids. To identify the genome regions varying in individuals, choosing the regions critical for diseases, to define and identify genes within large sequences, to figure out ups/downs and causation, to conclude clear and meaningful outcomes are the duties of the bioinformaticians. Bioinformatics specialists also get individual data pieces together, which is not conclusive on its own, and construct the big picture.

Nature cover Human genome

 




Nature cover on 15th Feb. 2015: The Human Genome Project

Bioinformaticians carry out similar jobs with other information specialists. We are surrounded with information in the modern times, and everyday each of us produces limitless information via our actions. The knowledge coming out of processing this information is used in fields varying from finance to politics. Apart from other information process areas, bioinformatics specialists have solid background on the data they process, i.e. genetics.

Genetics is the branch of science on genes and heredity. Our students will receive a strong education on basis of the life, cell biology, genetic/epigenetic mechanisms, molecular biology, chemical/biochemical structure of nucleic acids (DNA/RNA) and proteins.

Computational biology is the recreation of life in digital environment. Computational biologists mainly make use of biology, biochemistry and programming. One of the techniques frequently used is to model the 3D structure of the related protein in silico and design matching drugs, since it speeds up the process and decreases the cost of drug generation enormously. For instance, anti-AIDS drugs, which are currently in the market are obtained by modeling HIV proteins and designing drugs in computer environment. Computer aided drug design is also among research interest of our department. The molecular model of a receptor, which is part of the disease related mechanism, is generated in silico, after a drug candidate molecule is designed in silico, in a way that it would end the disease causing mechanism. The drug molecule might be a brand new model that has never been synthesized before, or it might be chosen from a database holding millions of molecule. How the interaction between the protein and the drug candidate would take place can be predicted by calculating the bond energies and forces. The forces are calculated using the very basic rules of physics. This way, hundreds of thousands of molecule that would otherwise take enormously long period to synthesize can be screen on the software within few days.

In our department, we aim at raising young scientists, to grab the trends of the latest technology and apply efficiently, to have a strong background in genetics, computer sciences, and statistical methods, and to follow and contribute to the latest science.

Our students, those receive the most up-to-date education on bioinformatics, genetics and computational biology, will be highly-requested grads both in the academic field and in drug and biotechnology fields. We have prepared the undergraduate education in line with the world leading universities’ programs, which is quite limited in number: Harvard, University of Massachusetts, UCLA, Rockefeller University, MIT, University of PittsburghUniversity of Pennsylvania, UC San Diego, Loyola University Chicago, Iowa State University, University of Northern Iowa, University of Ohama, University of Maryland.

Our department head, Prof. Kemal Yelekçi tell about the department on a national TV show (in Turkish):

Our members tells about the department (in Turkish):


 

Curriculum

 

T+U+L Local Credit ECTS
Year 1, Fall
CH 103 Chemistry I 3+0+2 4 5
EL 101 English-I 3+0+0 3 4
IT 103 Introduction to Computing and Information Systems 3+0+0 3 5
MA 101 Calculus-I 3+2+0 4 7
PH 121 Physics-I 3+0+0 3 5
PH 131 Physics Laboratory-I 0+0+2 1 2
TD 101 Turkish Language I 2+0+0 2 1
Total semester: 17+2+4 20 29
Year 1, Spring
BIO 102 Biology 3+0+0 3 5
CH 104 Chemistry II 3+0+2 4 6
EL 102 English-II 3+0+0 3 4
MA 102 Calculus-II 3+2+0 4 7
PH 132 Physics Laboratory-II 0+0+2 1 2
PH 122 Physics-II 3+0+0 3 5
TD 102 Turkish Language II 2+0+0 2 1
Total semester: 17+2+4 20 30
Year 2, Fall
AT 101 Ataturk’s Principles and History of Revolution – I 2+0+0 2 1
BIO 205 Organic Chemistry I 3+0+0 3 6
BIO 207 Programming Languages 3+0+0 3 6
BIO 203 Bioinformatics I 2+0+2 3 6
EL 201 English-III 3+0+0 3 4
KH 100 Social Responsibility 0 1
MDBF 299 Internship I 0+0+0 0 3
Total semester: 13+0+2 14 27
Year 2, Spring
AT 102 Principles of Atatürk and History of Turkish Republic II 2+0+0 2 1
BIO 202 Numerical Methods and Optimization Techniques 3+0+0 3 6
BIO 206 Organic Chemistry II 3+0+2 4 9
BIO 204 Bioinformatics II 3+0+0 3 6
EL 202 English-IV 3+0+0 3 4
KH 100 Social Responsibility 0 1
MDBF 299 Internship I 0+0+0 0 3
Total semester: 14+0+2 15 30
Year 3, Fall
BIO 301 Cell Biology and Genetics I 3+0+2 4 8
BIO 305 Biochemistry I 3+0+0 3 6
MDBF 399 Internship II 0+0+0 0 3
Technical Elective-I 3+0+0 3 6
Technical Elective-II 3+0+0 3 6
Social Science Elective-I 3+0+0 3 5
Total semester: 15+0+2 16 34
Year 3, Spring
BIO 302 Cell Biology and Genetics II 3+0+2 4 8
BIO 306 Biochemistry II 3+0+0 3 6
MDBF 399 Internship II 0+0+0 0 3
Technical Elective-III 3+0+0 3 6
Technical Elective-IV 3+0+0 3 6
Social Science Elective-II 3+0+0 3 5
Total semester: 15+0+2 16 34
Year 4, Fall
BIO 401 Genomics and Proteomics 3+0+2 3 7
BIO 403 Recent Advances in Genetics 3+0+0 3 6
BIO 411 Graduate Project I 0+4+0 2 9
BIO 405 Statistical Thermodynamics 3+0+0 3 6
Technical Elective-V 3+0+0 3 6
Social Science Elective-III 3+0+0 3 5
Total semester: 15+4+2 17 39
Year 4, Spring
BIO 402 Computer Aided Drug Design 3+0+0 3 6
BIO 412 Graduate Project II 0+4+0 2 9
Technical Elective-VI 3+0+0 3 6
Technical Elective VII 3+0+0 3 6
Social Science Elective-IV 3+0+0 3 5
Total semester: 12+4+0 14 32
Elective Courses
BIO 303 Molecular Modelling and Simulation 3+0+0 3 6
BIO 308 Neurobiology 3+0+0 3 6
BIO 310 DNA and Biotechnology 3+0+0 3 6
BIO 311 Fluid Dynamics in Biological Systems 3+0+0 3 6
BIO 312 Protein Folding 3+0+0 3 6
BIO 313 Ethical Issues in Genetics 3+0+0 3 6
BIO 315 Pharmacophore Modelling 3+0+0 3 6
BIO 317 Molecular Biophysics 3+0+0 3 6
BIO 318 Biological Data and Data Mining 3+0+0 3 6
BIO 405 Computational Structural Biology 3+0+0 3 6
BIO 410 Pharmocokineticsand Enyzme Kinetics 3+0+0 3 6
BIO 413 Molecular Evolution 3+0+0 3 6
BIO 414 Organic Chemistry of Drug Design and Drug Action 3+0+0 3 6
BIO 415 Human Molecular Genetics 3+0+0 3 6
BIO 417 Environmental Microbiology 3+0+0 3 6
BIO 418 Principles and Practice of Drug Development 3+0+0 3 6
BIO 419 Cell and Tissue Engineering 3+0+0 3 6
BIO 420 Applied Quantum Chemistry 3+0+0 3 6
CE 467 Design and Analysis of Algorithms 3+0+0 3 6
CE 474 Introduction to Computational Biology 3+0+0 3 6
IT 320 Artificial Intelligance and Neural Networks 3+0+0 3 6
IT 416 Multi-core Computer Architectures and Parallel Programming 3+0+0 3 6

Education is entirely in English.

For further information, please visit our website:

http://www.khas.edu.tr/en/1476/Bioinformatics-and-Genetics