Face to face lectures in the Laboratory of Biomathematics of the Department and the auditorium

MANDATORY PRESENCE: NO

Lectures in powerpoint (ppt) format

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

Use of Computer technology in communication with students (website, e-mail, etc.)

The general purpose of the course is to introduce students to Bioinformatics and to 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 use easily databases of biological and genetic data on the internet
• To retrieve easily data from the literature databases of biological and medical research
• To choose the appropriate database depending on the research question
• To fully retrieve all information that can be extracted from an online database

General Abilities

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

Decision making

Autonomous work

Teamwork

Working in an international environment

Promoting free, creative and inductive thinking

During this course, the following are achieved with the assistance of computer technology

– search of bioinformatics websites

– Retrieval of genetic data from databases–GenBank

– Analysis of nucleotide and amino acid sequences

– Pairwise sequence alignment analysis-FASTA

– 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.

– Genetic analysis data.

– Testing the association between genes and diseases.

– Analysis of genomic scans

– Data analysis of gene expression microarrays (Microarrays)

Teaching notes are distributed:

Elias Zintzaras (2008) LABORATORY NOTES OF APPLIED BIOMETRY-BIOINFORMATION

(available on the course website as well as teaching materials) 

In addition, the following bibliography is indicated

A Practical Guide to Gene and Protein Analysis (3rd ed. 2016). Author: Baxevanis AD, Ouellette BFF (Editor of Greek Edition: Hamodrakas S.I.) Publishing House: Scientific Publications Parisianou SA

Introduction to Bioinformatics Algorithms Author: NEIL C. JONES, PAVEL A. PEVZNER (1st/2010) ISBN: 978-960-461-388-5 Publisher: KLEIDARITHMOS