ΒΙΟΠΛΗΡΟΦΟΡΙΚΗ-ΒΙΟΜΕΤΡΙΑ

BIOINFORMATION-BIOMETRY

Lesson Code:	KI0910

Professor in charge:	Ilias Zintzaras, Professor

Other Teachers:	Doxani Chrysoula

ECTS:	2.00

Type|Type of Course:

OP | SCIENTIFIC AREA

Teaching Semester:

13th Semester

Hours per week:

2 hours

Total Time (Teaching Hours + Student Workload)

54 Hours

Prerequisites:

Language of Instruction:

Greek

Available for Erasmus:

YES

Semester Lectures:

Coming Soon…

Teaching Method:

LECTURES Face to face in the Department's IT lab and in the auditorium

COMPULSORY PRESENTATION NO

Lectures in powerpoint format

In each lesson, laboratory exercises are carried out on a computer

Use of T.P.E. in communication with students (website, e-mail, etc.)

Evaluation Method:

The evaluation of the students is done in Greek with a written presentation of laboratory exercises/applications presented during the lectures.

Objective Objectives/Desired Results:

The general purpose of the course is to introduce students to Bioinformatics and familiarize them with the use of computers to manage and analyze genomic and proteomic data, and to retrieve such data from web databases.

The specific objectives of the course are specialized in the following intended learning outcomes:

Upon successful completion of the course, the student will be able to:

Retrieve genomic and proteomic data from web databases
To manage and analyze this data
To refer fluently to biological and genetic data bases on the internet
to refer fluently to bibliographic data bases of biological and medical research
to select the appropriate basis depending on the research question
to exhaust all the information they can extract from an online database

General Skills

Search, analysis and synthesis of data and information, using the necessary technologies

Decision making

Autonomous work

Teamwork

Work in an international environment

Promotion of free, creative and inductive thinking

Course URL :

http://biomath.med.uth.gr

Course Description:

In the course this is achieved with the help of the computer
– search of bioinformatics websites
– Retrieval of genetic data from databases–GenBank
– Analysis of nucleotide and amino acid sequences
– FASTA-pairwise sequence alignment analysis
– Multiple sequence alignment analysis-CLUSTAL
– Protein data sources–SWISSPROT.
– Secondary and composite protein sequence databases–PROSITE, PRINTS and OWL.
– Comparison of protein structures with intramolecular and intermolecular methods
– Categorization of protein structures-SSAP, CE and CATH.
– Evidence of genetic analysis.
– Testing the association between genes and diseases.
– Analysis of genomic scans
– Data analysis of gene expression microarrays (Microarrays)

BIOINFORMATION-BIOMETRY

BIOINFORMATION-BIOMETRY

BIOINFORMATION-BIOMETRY

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