Undergraduate
Faculty of Science and Letters
Molecular Biology And Genetics
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Bioinformatics

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MBG7003 7 Bioinformatics 3/0/0 CC Turkish 4
Course Goals
In this course it is aimed to present available biological databases and several bioinformatic tools/methods to understand the regulation of DNA-RNA-protein information flow. In addition, it is possible to learn sequence alignment, building a phylogenetic tree, distance calculation between species, evaluation of microarray samples, genomic and proteomic understanding.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) To be able to follow up literature and to be familiar web-based program learning
Instructor(s) Assoc. Prof. Alper Yılmaz
Course Assistant(s) -
Schedule Wednesday 13:00-16:00 (%100 Online)
Office Hour(s) Please schedule an online meeting over CATS system
Teaching Methods and Techniques Oral presentation, demostration, analysis and synthesis
Principle Sources 1. http://bioinfbook.org/

2.  Selzer, P.M., Marhofer, R.J., Koch, O. (2019) *Uygulamalı Biyoinformatik Giriş* (Tunçer, M., Ay, H., Çev.) (2.Baskı). İstanbul: Palme Yayınevi.
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction to bioinformatics Lecture
2. Week Access to the information and literature search Lecture
3. Week Pairwise sequence alignment Lecture
4. Week Pairwise sequence alignment Recitation
5. Week BLAST Lecture
6. Week BLAST Recitation
7. Week Mid-term Analysis and synthesis
8. Week Multiple sequence alignment Lecture
9. Week Molecular phylogeny and evolution Lecture
10. Week Multiple sequence alignment and phylogenetics Recitation
11. Week Bioinformatic approaches to RNA Lecture
12. Week Microarray data analysis, protein structure Lecture
13. Week Microarray data analysis, protein structure Recitation
14. Week Genomics and proteomics Lecture
15. Week Final exam week Analysis and synthesis
16. Week Final exam week Analysis and synthesis
17. Week Final exam week Analysis and synthesis
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 25
Homework / Term Projects / Presentations 2 30
Attendance 1 10
Final Exam 1 35


Program Outcomes
PO-1To apply all knowledge about basic sciences such as mathematics, physics, chemistry and biology to all problems in molecular biology and genetics
PO-2To be able to identify, model and produce solutions against to problems related to molecular biology and genetics
PO-3To start a procedure, proceed and finalize about determined problem by using analytical techniques
PO-4To be able to understand all knowledge about living organisms which is main subject of molecular biology and genetics
PO-5To contribute scientific research and development and add further information
PO-6To be able to analyze data, design an experiment and proceed and annoate the results
PO-7To be able to use current techniques and analysis methods in molecular biology and genetics
PO-8To be able to be a part of a team in disciplinary or multidisciplinary, national or international public problems focused projects and use at least one foreign language for vocational purposes
PO-9To be able to behave individually, take initiative and creativity skills
PO-10To communicate briefly and clear using oral or written presentation skills to present individual working performance and independent decisions
PO-11To carry responsibility to vocational and ethical issues
PO-12To be aware about quality assessment
PO-13To adopt in principle the importance of life-learning subject and graduate self-development by following new literature about field and apply current knowledge
Learning Outcomes
LO-1To be able to understand the basis of biological databases and their utilization in molecular biology and genetics
LO-2To define alignment tools for two or more sequences and to discuss the reason of similarities or mismatch conditions
LO-3To be able to build a phylogenetic tree for given sequences and to discuss distance between species
LO-4To understand protein-RNA and DNA information flow and able to analyse the mass biological data by using several bioinformatics based tools
LO-5To discuss genomics and proteomics by using bioinformatics tools
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13
LO 1
LO 2
LO 3
LO 4
LO 5