1. Basic Concepts of Molecular Biology; Life, Proteins, Nucleic acids. 2. The Mechanisms of Molecular Genetics; Genes and the Genetic Code, Transcription, Translation and Protein Synthesis, junk DNA and Reading frames,Chromosomes 3. How the Genome is Studied; Maps and Sequences, Specific Techniques 4. The Human Genome Project 5. Molecular Biology Databases on the Web 6. Strings, Graphs and Algorithms 7. Sequence Alignment Algorithms; Global, Semiglobal, and Local Alignment 8. Multiple Sequence Alignment; Star alignment, Tree alignment 9. Database Search; PAM, BLOSSUM matrices, BLAST, FASTA 10. Quantitative and Probabilistic Pattern Matching 11. Protein Ligand Docking 12. Bio-ethics
Computational Biology (ENS 210)
2025 Fall
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
3
6
Ogün Adebali oadebali@sabanciuniv.edu,
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English
Undergraduate
IF100 MATH101
Formal lecture,On-line task/distance,Laboratory
Interactive,Learner centered,Discussion based learning,Project based learning,Guided discovery
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| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering | * | ||
| Computer Science and Engineering | * | ||
| Data Science and Analytics | * | ||
| Data Science and Analytics | * | ||
| Electronics Engineering | * | ||
| Electronics Engineering | * | ||
| Industrial Engineering | * | ||
| Industrial Engineering (Previous Name: Manufacturing Systems Engineering) | * | ||
| Materials Science and Nano Engineering | * | ||
| Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) | * | ||
| Microelectronics | * | ||
| Molecular Biology, Genetics and Bioengineering | * | ||
| Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) | * | ||
| Telecommunications | * |
CONTENT
OBJECTIVE
To supply the students with the foundations in Computational Biology.
LEARNING OUTCOMES
- To have basic knowledge of molecular biology genetics and biochemistry
- To learn PYTHON and at to be able write PYTHON programs for basic computational biology problems.
- To gain basic knowledge of the sequence alignment, database search , clustering, and profile algorithms in computational biology.
- To learn ways to model biological problems and analyticla methodsfor solving problems in biology and medicine.
- To learn to design an implement an algorithm and analyze the results of their algorithm that they developed as a team.
PROGRAMME OUTCOMES
1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 1
2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 5
4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4
5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4
1. Possess sufficient knowledge of mathematics, science, fundamental engineering, computational methods and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4
2. Identify, define, formulate and solve complex engineering problems while considering the UN Sustainable Development Goals; choose and apply suitable analysis, design, estimation/prediction and modeling methods for this purpose. 4
3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; use information technologies effectively. 4
4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling creative current and future requirements. 4
5. Use research methods, including conducting literature reviews, designing experiments, performing experiments, collecting data, analyzing results, and interpreting results, to investigate complex engineering problems or discipline-specific research topics. 4
6. Possess knowledge of business practices such as project management, risk management, change management, and economic feasibility analysis; awareness on entrepreneurship and innovation. 4
7. Possess knowledge of impact of engineering solutions on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals; awareness on legal outcomes of engineering solutions; awareness of acting impartially and inclusively without any form of discrimination; act in accordance with ethical principles, possessing knowledge of professional and ethical responsibilities. 4
8. Communicate effectively, both orally and in writing, on technical subjects, considering the diverse characteristics of the target audience (such as education, language, and profession). 4
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Final | 25 |
| Midterm | 50 |
| Other | 25 |
RECOMENDED or REQUIRED READINGS
| Readings |
Python textbook: |