Bioinformatics with Applications in Medicine

Course Information
TitleΒιοπληροφορική με Εφαρμογές στην Ιατρική / Bioinformatics with Applications in Medicine
FacultyHealth Sciences
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorAntigoni Malousi
Course ID600017978

Programme of Study: UPS of School of Medicine (2019-today)

Registered students: 37
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses212

Class Information
Academic Year2020 – 2021
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Class ID
1. Εργ. Βιολογικής Χημείας
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
General Prerequisites
The course includes practical training of students in specific medical-oriented applications of bioinformatic tools and databases. The practice will take place during the course so students must have a computer with them.
Learning Outcomes
At the end of the course, the students will be able to: 1. Identify the type of problems that can be solved using Bioinformatics methods. 2. Select and appropriately use available databases and tools. 3. To develop and execute bioinformatics pipelines. 4. To understand the usage and importance of Bioinformatics in personalized diagnostics and therapeutics.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
Course Content (Syllabus)
The course will cover the analysis of multiple -omics data at different scales, starting from introductory concepts and basic algorithms such as alignment, weight matrices etc. At each -omic level, e.g. genomics, transcriptomics, proteomics different approaches will be described and applied through medical-oriented hands-on exercises. The course will also introduce the main high-throughput sequencing technologies and example pipelines for the analysis and interpretation of huge datasets through user-friendly platforms.
bioinformatics, algorithms, workflows, high-throughput data analysis, computational -omics
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
The course includes on-site lectures and exercises on computers using modern audiovisual methods, course notes, modern bibliography (available through the "Kallipos" electronic textbook repository) and online educational material. The teaching methodology encourages the collaborative nature of learning through, as well as the potential of discussions and exchange of messages provided by the e-learning service of AUTh.
Course Organization
Laboratory Work80.3
Written assigments80.3
Student Assessment
The evaluation includes optional assignments (individual or group based on the number of participants), which will add up to 2 points to the final mark, as well as the final written test in the form of closed and open questions.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative)
  • Written Exam with Short Answer Questions (Formative)
  • Written Assignment (Formative)
Additional bibliography for study
Αποθετήριο ηλεκτρονικών συγγραμμάτων “Κάλλιπος”: 1. Μπάγκος, Π., 2015. Βιοπληροφορική. [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο δωρεάν στο: 2. Νικολάου, Χ., Χουβαρδάς, Π., 2015. Υπολογιστική βιολογία. [ηλεκτρ. βιβλ.] Αθήνα: Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο δωρεάν στο:
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