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Bioinformatics

Data

Official data in SubjectManager for the following academic year: 2025-2026

Course director

Number of hours/semester

lectures: 0 hours

practices: 12 hours

seminars: 12 hours

total of: 24 hours

Subject data

  • Code of subject: OXFBIN-z-T
  • 2 kredit
  • Zahnmedizin
  • Optional modul
  • spring
Prerequisites:

OZAMF1-T finished

Course headcount limitations

min. 5 – max. 18

Topic

According to a simple definition bioinformatics is molecular biology on a computer. Today, also due to the Human Genome Project, an incredible amount of information is available on our genes and proteins. What can we use this information for? The aim of bioinformatics is to organize this information and to help us find and analyze the relevant data. Our course provides an introduction to these. We will seek answers to questions like:

- how can we find the DNA and amino acid sequence of a given protein on the internet?

- how can we distinguish coding and non-coding regions of a gene?

- how can we predict the properties of DNA and protein molecules based on their sequence?

- how can we design a protein cloning experiment?

- how similar is the same protein found in men and mice?

- how can the 3D structure of a protein be predicted?

- how can we visualize and manipulate the 3D structure of a protein?

During the course we will not only discuss the theoretical background of the above (and many other) questions, but students will also be able to try out all these methods in practice.

Lectures

Practices

  • 1. Introduction - Grama László
  • 2. Molecular biology basics - Grama László
  • 3. Introduction to basic tools - Grama László
  • 4. Protein databases - Grama László
  • 5. Nucleotide databases - Grama László
  • 6. Gene and genome databases. Restriction mapping - Grama László
  • 7. PCR primer design. Plasmid maps - Grama László
  • 8. Designing a cloning project 1 - Grama László
  • 9. Designing a cloning project 2 - Grama László
  • 10. Similarity searches (BLAST) - Grama László
  • 11. Multiple sequence alignments. Phylogenetic trees. 3D protein structures - Grama László
  • 12. Protein structure prediction, computer simulations. Bibliography databases (PubMed), working with references - Grama László

Seminars

  • 1. Introduction - Grama László
  • 2. Molecular biology basics - Grama László
  • 3. Introduction to basic tools - Grama László
  • 4. Protein databases - Grama László
  • 5. Nucleotide databases - Grama László
  • 6. Gene and genome databases. Restriction mapping - Grama László
  • 7. PCR primer design. Plasmid maps - Grama László
  • 8. Designing a cloning project 1 - Grama László
  • 9. Designing a cloning project 2 - Grama László
  • 10. Similarity searches (BLAST) - Grama László
  • 11. Multiple sequence alignments. Phylogenetic trees. 3D protein structures - Grama László
  • 12. Protein structure prediction, computer simulations. Bibliography databases (PubMed), working with references - Grama László

Reading material

Obligatory literature

Literature developed by the Department

Elérhetőek a tantárgy Teams felületén.

Notes

Recommended literature

Conditions for acceptance of the semester

Maximum of three absences.

Mid-term exams

Project work: designing a cloning experiment.

Making up for missed classes

None.

Exam topics/questions

Elérhetőek a tantárgy Teams felületén.

Examiners

Instructor / tutor of practices and seminars

  • Grama László
  • Kengyel András Miklós
  • Talián Csaba Gábor
Rólunk