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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| TRANSLATIONAL MEDICINE (PhD) (ENGLISH) (INTERDISCIPLINARY) | |
| Code | Trans634 |
| Name | Analytical Techniques for Omics Studies |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Merve NENNİ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Advanced analytical techniques used in omic analysis (chromatography, spectroscopy, electrophoresis, mass spectrometry, etc.), data processing methods, and the place of these technologies in translational medicine applications such as disease diagnosis and biomarker discovery will be covered in detail.
Course Content
Advanced analytical techniques used in omic analysis (chromatography, spectroscopy, electrophoresis, mass spectrometry, etc.), data processing methods, and the place of these technologies in translational medicine applications such as disease diagnosis and biomarker discovery will be covered in detail.
Course Precondition
none
Resources
Nenni M, ÇÜBİS-Ders Sunumları, 2026, Çukurova Üniversitesi. Nenni M, Çukurova Üniversitesi Eczacılık Fakültesi, Analitik Kimya I Laboratuvar Föyü 2025.
Notes
Analitik Kimya I Laboratuvar Föyü, Hacettepe Üniversitesi Eczacılık Fakültesi. Analitik Kimya II Laboratuvar Föyü, Hacettepe Üniversitesi Eczacılık Fakültesi. Onur F., Analitik Kimya I Laboratuvar Föyü, Ankara Üniversitesi Eczacılık Fakültesi. Skoog, West, Holler, Crouch, Analitik Kimya Temel İlkeler Cilt 1. Güncel literatürler.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic principles of omic technologies and their role in translational medicine. |
| LO02 | Applies bioinformatics tools used in omic data analysis. |
| LO03 | Explains systems biology approaches with multi-omics data integration. |
| LO04 | Proposes solutions to translational medicine problems with omics data. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Develops and deepens the current and advanced level knowledge of translational medicine via unique thoughts or researches at a level of proficiency, find out original definitions that will bring innovation in the field of translational medicine. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Conceives the interdisciplinary interactions related to translational medicine; analyzes synthesizes and evaluates original and new thoughts. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains the usage of tool, devices and instruments requiered for knowledge and technologies about translational medicine and its related disciplines. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Defines frequently used statistical methods in translational medicine and related disciplines, uses statistical softwares effectively. | 1 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Uses both theoretical and practical knowledge at an advanced level in the studies related to translational medicine. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Develops a new thoughts, method and designment/application which brings innovation in translational medicine or implements a known thoughts, method and designment/application in different fields, investigates, comprehends, designs, adapts, implements an original topic. | 2 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Writes the report of his/her research which he/she participated, | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Makes necessary investigations by using tool, devices and instrument required for knowledge and technologies about translational medicine and related disciplines at an advanced level, develops a new and creative solution (device, method, treatment, drug) for the problems. | 2 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Uses statistical software in the field of Translational Medicine effectively, chooses statistical methods correctly, calculates and interprets correctly. | 1 |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Maintains the organization of Translational Medicine laboratories and develops solutions in case of encountering unforeseen complex situations during laboratory working hours. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducts scientific studies in translational medicine and related fields independently or as a team member. | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Writes the report of his/her research in which he/she participated, publishes in a national or international reputed journal (indexing in SCI, SCI-Expanded, SSCI, or AHCI), and presents it at scientific meetings. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Follows evidence-based practices and conducts research on professional practices that will create evidence in their field. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Applies the principles of advanced professional development and lifelong learning in the field of Translational Medicine. | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicate current developments and studies within the field to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data. | |
| PLO16 | Bilgi - Kuramsal, Olgusal | Learns how to teach a concept, subject, phenomenon or case related to Translational Medicine. | |
| PLO17 | Belirsiz | Communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level. | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and uses these issues for social strategy, implementation plans and frame of quality processes. | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Knows the importance of ethical principles and ethical committees for the individual and society, acts ethically. | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Increases the awareness of society about translational medicine. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Omic Technologies and Basic Concepts | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Techniques Used in Genomic Analysis | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Transcriptomic Analysis | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Introduction to Proteomic Analysis and Electrophoresis Techniques | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Mass Spectrometry (MS) Fundamentals | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 6 | Chromatographic Techniques (LC-MS, GC-MS) | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Metabolomics Analysis | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | ||
| 9 | Lipidomics Analysis | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Microbiome Analysis | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Data Analysis and Bioinformatics Tools | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Single Cell Omics Technologies | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | Integration of Omics Data in Translational Medicine | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | Biomarker Discovery and Validation | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 15 | Student Presentations and Discussion | Studying the relevant topic from course resources | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 8 | 16 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 125 | ||
| Total Workload / 25 (h) | 5,00 | ||
| ECTS | 5 ECTS | ||