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Bioinformatics

Description

We deal with the most commonly used algorithms in biological applications. The first part of the course is dedicated to data mining algorithms and classification methods such as markov models and other learning methods. We explore how to use such algorithms to analyse large amount of data (e.g., genome analysis) and to build 3D structures of proteins (e.g., using homology modeling). The last part of the course is focused on molecular docking algorithms and high throughput screening protocols used in virtual screening calculations.

 

REFERENCES

  • Slides and notes from the course.
  • Additional materials are distributed by the teacher.

People

 

Limongelli V.

Course director

Additional information

Semester
Fall
Academic year
2019-2020
ECTS
6
Education
Master of Science in Computational Science, Core course, Lecture, 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4 ECTS)

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4 ECTS)