NEXT GENERATION SEQUENCING

Course Information
TitleΑΛΛΗΛΟΥΧΙΣΗ DNA ΝΕΑΣ ΓΕΝΙΑΣ / NEXT GENERATION SEQUENCING
CodeAPBC.01.03
FacultySciences
SchoolBiology
Cycle / Level2nd / Postgraduate, 3rd / Doctorate
Teaching PeriodWinter/Spring
CoordinatorAlexandros Triantafyllidis
CommonNo
StatusActive
Course ID600022122

Programme of Study: DIPMS EFARMOSMENĪ VIOPLĪROFORIKĪ 2022

Registered students: 30
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course116

Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours9
Total Hours28
Class ID
600289741
Course Type 2021
Specific Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • English (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will: 1) understand and process DNA sequencing data from different next-generation DNA sequencing platforms 2) become familiar with the most common next-generation DNA sequencing protocols 3) be able to analyze transcriptome, ddRAD and barcoding expression data 4) be able to perform statistical analysis of molecular pathways and gene ontologies in gene lists 5) become familiar with the above analyses in R, python and UNIX/Linux environments.
General Competences
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work in an interdisciplinary team
Course Content (Syllabus)
Course contents include: 1) introduction to the nature and processing of DNA sequencing data (e.g. (a) the nature and processing of DNA sequencing data (e.g., filtering) from various next-generation DNA sequencing platforms; 2) theory and practical exercises on the most popular next-generation DNA sequencing protocols such as (a) hybrid sequencing of small and medium size whole genomes, (b) transcriptome synthesis, quantification, and expression analysis, (c) ddRAD, and (d) eDNA and barcoding, 3) gene characterization and statistical analysis of molecular pathways and gene ontologies in gene lists. A significant part of the practical exercises will be performed in R, python and UNIX/Linux environments.
Educational Material Types
  • Slide presentations
  • Video lectures
  • Interactive excersises
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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures903.6
Field trips and participation in conferences / seminars / activities60.2
Written assigments160.6
Exams381.5
Total1506
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Problem Solving (Summative)
  • Report (Summative)
Last Update
28-01-2024