General Information

Field Details
Semester Fall 2025–2026
Instructor Arda Söylev (asoylev@erbakan.edu.tr)
Teaching Assistant Elif Uysal (elif.uysal@gidatarim.edu.tr)
Office Hours To be announced (by appointment)
Class Hours Tuesday, 10:00 – 13:00 (MB-101/102)
Textbooks - Phillip Compeau & Pavel Pevzner, Bioinformatics Algorithms: An Active Learning Approach, 3rd Edition (Recommended)
- Neil C. Jones & Pavel A. Pevzner, An Introduction to Bioinformatics Algorithms (Computational Molecular Biology), MIT Press, 2004 (Recommended)
- Genome-Scale Algorithm Design: Bioinformatics in the Era of High-Throughput Sequencing, Cambridge University Press, 2023 (Recommended)

Announcements

  • 08.09.2025 — All course-related announcements will be posted here.

Course Schedule

Week / Date Topics Reading Slides
1
16.09.2025
Introduction
Molecular biology foundations
Algorithm complexity overview
Slides 1
2
23.09.2025
DNA patterns
Frequent patterns
Motifs
3
30.09.2025
String matching
Z-algorithm, Knuth–Morris–Pratt, Boyer–Moore
Simple indexing, approximate matching
4
07.10.2025
Alignment
Similarity (Hamming distance, edit distance)
Dynamic programming: global and local alignment
5
14.10.2025
Read Alignment
Trie
Suffix trie
Suffix tree
Suffix array
6
21.10.2025
Paper Presentations
7
28.10.2025
Burrows–Wheeler Transform (BWT) and FM-index
Multiple sequence alignment
8
04.11.2025
Assembly
Overlap–Layout–Consensus (OLC)
De Bruijn graphs
Error correction
8–16 Nov. Midterm Exam
9
18.11.2025
Clustering
K-means
Expectation–Maximization (EM)
10
25.11.2025
Unix tools
Bash, AWK, SED
11
02.12.2025
Hidden Markov Models (HMMs)
12
09.12.2025
Phylogeny
13
16.12.2025
K-mers
- Bloom filters
- Sketching
- Minimizers
- MinHash
Metagenomics
14
23.12.2025
Project Presentations

Evaluation and Grading

  • Midterm (40%)
    • Paper Presentation: 20%
    • Midterm Exam: 20%
  • Final (60%)
    • Project: 30%
      • Proposal: 5%
      • Implementation and Final Report: 15%
      • Presentation: 10%
    • Final Exam: 30%

Attendance

According to university regulations, students are required to attend at least 70% of the lectures. Those falling below this threshold will automatically fail the course.


Grading Policy

No individual discussions will be held regarding grades.
Requests concerning passing grades, exam performance, or appeals for course completion will not be answered. Such messages will be disregarded.


Academic Integrity

Any form of cheating, plagiarism, or academic dishonesty is considered a serious violation.

  • Students caught cheating, facilitating cheating, or attempting to cheat will be subject to disciplinary action under university regulations.
  • In such cases, the exam or assignment will receive a grade of zero (0) and the incident will be reported to the relevant authorities.