COURSE UNIT TITLE

: DATABASES IN BIOINFORMATICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBG 6112 DATABASES IN BIOINFORMATICS ELECTIVE 3 0 0 12

Offered By

Molecular Biology and Genetics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR GÖKHAN KARAKÜLAH

Offered to

Molecular Biology and Genetics
Biomedicine and Health Technologies

Course Objective

This course aims to provide students with information regarding major public bioinformatics databases. In addition to this, student will be able to extract useful information and to link data retrieved from information sources and databases.This course aims to provide students with information regarding major public bioinformatics databases. In addition to this, student will be able to extract useful information and to link data retrieved from information sources and databases.

Learning Outcomes of the Course Unit

1   To know major public bioinformatics and molecular biology databases
2   To extract useful information from public databases
3   To be able to choose appropriate data source for solving problems being encountered frequently in hypothesis testing
4   To be aware of challenges regarding molecular biology and bioinformatics databases
5   To know how to link outputs of diverse databases

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to molecular biology and bioinformatics databases
2 Bibliographic databases
3 Nucleotide sequence databases (nucleotide, gene structure, regulatory sequence databases)
4 RNA sequence databases
5 Protein sequence databases (general, protein properties, localization and targeting databases)
6 Protein sequence databases (motif, active sites, domain and classification databases)
7 Nucleic acid, protein and small molecule structure databases
8 Non-vertebrate genomic databases
9 MIDTERM
10 Model organisms and comperative genomic databases
11 Human genome databases, maps and genome viewers
12 Metabolic and signaling pathway databases
13 Human genes and diseases databases
14 Gene expression, cell biology and immunological databases
15 Assignment Presentations
16 Final Exam

Recomended or Required Reading

Textbook(s):
1. Nucleic Acids Research (Database issue), Online ISSN 1362-4962 - Print ISSN 0305-1048

Planned Learning Activities and Teaching Methods

Theoretical lectures with PowerPoint presentation and assignment presentations by students

Assessment Methods

Successful / Unsuccessful


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

gokhan.karakulah@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation before/after weekly lectures 14 6 84
Preparation for Mid-term Exam 1 30 30
Preparation for Final Exam 1 37 37
Preparing Individual Assignments 12 5 60
Preparing Presentations 2 20 40
Final 1 3 3
Mid-term 1 4 4
TOTAL WORKLOAD (hours) 300

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.13
LO.23
LO.33
LO.43
LO.53

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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