TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learns Bioinformatics. 2) Have knowledge about protein analysis. 3) Have an idea about the use of bioinformatics in the laboratory environment. 4) Have an Idea about RNA and DNA.
MODE OF DELIVERY
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week 1 Introduction to Bioinformatics and Sequence Analysis. 2nd Week 2 Internet Resources focusing on text-based searches of literature, molecular, and medical databases. 3rd Week 3 Searching DNA databases with DNA queries: BLASTN. 4th Week 4 Searching protein databases with protein queries: BLASTP. 5th Week 5 Cross-molecular searches: BLASTX and TBLASTN. 6th Week 6 Advanced topics in BLAST 7th Week 7 Bioinformatics Tools for the Laboratory 8th Week 8 Midterm 9th Week 9 Protein Analysis 10th Week 10 Analysis problems involving short sequences 11th Week 11 MicroRNAs and Pathway Analysis 12th Week 12 Multiple Sequence Alignments 13th Week 13 Exploring the genome with Genome Browsers 14th Week 14 Final Exam 15th Week
RECOMENDED OR REQUIRED READING	?Practical Bioinformatics? by Michael Agostino
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT METHODS AND CRITERIA
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 84 84 Preparation for Quiz 1 16 16 Individual or group work 0 0 0 Preparation for Final exam 1 24 24 Course hours 14 3 42 Preparation for Midterm exam 1 11 11 Laboratory (including preparation) 0 0 0 Final exam 1 96 96 Homework 1 12 12 Project 1 12 12 Total Workload 297 Total Workload / 30 9,9 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION
WORK PLACEMENT(S)	No