Faculty of Technical Sciences

Subject: Genomics Data Analysis (17.BMIM8)

General information:
 
Category Professional-applicative
Scientific or art field Automatic Control and System Engineering
ECTS 6

Acquisition of theoretical and practical fundamentals of computational methods that can infer biological information from genomic data, the strengths and weaknesses of related methods, and the important parameters embedded in these analyses.

Students should be able to understand the principles of algorithm design for biological datasets, to analyze problems, and use described methods in order to locate genes, repeat families, similarities between sequences of different organisms and several other applications.

Sequence Alignments. Hidden Markov Models. Multiple Alignment Algorithms. Gene Expression Analysis. Population Genomics. Molecular Evolution. Comparative Genomics.

Lectures, numerical calculation practice, computer practice, consultations

Authors Title Year Publisher Language
R. Durbin, S. Eddy, A. Krogh, G. Mitchison Biological Sequence Analysis 1998 Cambridge University English
N. Jones, P. Pevzner An Introduction to Bioinformatics Algorithms 2004 MIT Press English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 30.00
Project Yes Yes 70.00

Prof. Ilić Vojin

Full Professor

Lectures
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Asst. Prof. Mejić Luka

Assistant Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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© 2024. Faculty of Technical Sciences.