1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. BIOLOGY DEPARTMENT
  4. 1741 Biology PhD
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BIO 591PROTEOMICS APPLICATIONS3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective Proteomics cover the integration of a number of topics with the aim of analyzing the complete complement of proteins expressed by a biological system. This course will give a general understanding of the proteome, describe many of the different aspects of proteomics that have been developed recently, identify the technologic limitations related to proteomics, and will also include likely future directions for the field.
Course Content Proteomic Analysis by Two-Dimensional Polyacrylamide Gel Electrophoresis, Mass Spectrometry: The Foundation of Proteomics Isotope Labeling in Quantitative Proteomics, Mass Spectrometric Characterization of Post-translational Modifications, Technologies for Large-Scale Proteomic Tandem Mass Spectrometry, Protein Fractionation Methods for Proteomics, Protein Localization by Cell Imaging, Characterization of Functional Protein Complex, Structural Proteomics by NMR, Protein Microarrays, Microfluidics-Based Proteome Analysis, Single Cell Proteomics, Diagnostic Proteomics, Automation in Proteomics, Bioinformatics Tools for Proteomics.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Will be able to know Two-Dimensional Polyacrylamide Gel Electrophoresis
2Will be able to know Mass Spectrometry
3Will be able to know Tandem Mass Spectrometry
4Will be able to know Isotope Labeling in Quantitative Proteomics
5Will be able to know Structural Proteomics by NMR
6Will be able to know Protein Microarrays
7Will be able to do sequence analysis on computer
8Will be able to know Bioinformatics Tools for Proteomics

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13339
Hours for off-the-classroom study (Pre-study, practice)129108
Mid-terms12323
Final examination12525
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes