Information Package / Course Catalogue
Bioinformatics in Cancer
Course Code: ONK537
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 7
Objectives of the Course

To have knowledge about bioinformatics tools and techniques, to know how to benefit from technologies, to connect to data banks and bioinformatics assessments in this field.

Course Content

Introduction to bioinformatics, bioinformatics techniques, use of bioinformatics in oncological research will be given.

Name of Lecturer(s)
Learning Outcomes
1.To teach the importance of bioinformatics and its usage
2.Learning bioinformatics databases
3.Comprehension of data processing and data acquisition through databases
4.Gaining the ability to make analysis from these data by understanding protein structures
5.To have skills to make comparative genome analysis
6.Have knowledge about bioinformatics methods in cancer research.
7.In silico studies follows and comprehends the literature.
Recommended or Required Reading
1.Introduction to Bioinformatics, Anna Tramontano, Chapman and Hall/CRC, 2018, ISBN 9781351989411
2.Bioinformatics: Sequence and Genome Analysis, David Mount, Cold Spring Harbor Laboratory Press, 2004, ISBN 978-0879697129
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to Bioinformatics
Week 2 - Theoretical & Practice
Fundamentals of Bioinformatics
Week 3 - Theoretical & Practice
Bioinformatics tools and techniques
Week 4 - Theoretical & Practice
Collection and processing of information in bioinformatics
Week 5 - Theoretical & Practice
Creating and using data banks
Week 6 - Theoretical & Practice
NCBI Database and GenBank Data Analysis
Week 7 - Theoretical & Practice
Submission of Nucleotide and Amino Acid Sequences to Databases
Week 8 - Theoretical & Practice
Comparison and Analysis of Sequence Data (Mid-term exam)
Week 9 - Theoretical & Practice
Protein Databases, Comparison and Analysis of Protein Data
Week 10 - Theoretical & Practice
ESTs Analysis, Gene Prediction and Regulation
Week 11 - Theoretical & Practice
Phylogenetic Analysis
Week 12 - Theoretical & Practice
Comparative Genome Analysis
Week 13 - Theoretical & Practice
Bioinformatics in Oncology
Week 14 - Theoretical & Practice
Use of bioinformatics tools in cancer research, Cancer Genome Project, Genomic, epigenomic, transcriptomic and proteomic data, Importance of bioinformatics in cancer diagnosis and treatment
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Lecture - Practice141128
Assignment118119
Quiz1819
Midterm Examination124226
Final Examination148250
TOTAL WORKLOAD (hours)174
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-2
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-3
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-4
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-5
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-6
3
3
5
4
2
5
2
4
3
2
4
4
2
2
OÇ-7
3
3
5
4
2
5
2
4
3
2
4
4
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026