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| STAT1221-2 | Statistical methods and bioinformatics
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| Duration : | 24h Th, 12h SEM |
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| Number of credits : |
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| Lecturer : | Laurence Lins |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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Course contents :
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| -analysis of the amino acid composition of proteins
-hydrophobicity analysis
-protein databanks
-homology search
-sequence alignments
-detection of functional motifs
-prediction of secondary structures
-prediction of three-dimensional structures |
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Learning outcomes of the course :
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| we intend to show students the methods used in bioinformatics (sequence analysis and structure analysis)
After completing the course the student should be able to select the proper bioinformatic method given the information asked |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Chemical knowledge of proteins is essential: for example, properties of amino acids (pKa, chemical formulas, chemical properties), primary and secondary structures of proteins (notion of phi/psi angles:alpha helix, beta sheet, structures, turns, coils...) |
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Planned learning activities and teaching methods :
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| two learning sessions about the free access softwares will be given |
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Mode of delivery (face-to-face ; distance-learning) :
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| Lectures : 18h
learning sessions: 6 h |
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Recommended or required readings :
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- La bioinformatique pour les nuls
- Bioinformatics basics: Applications in biological science and medicine, L. Buehler and H. Rashidi, 2d edition, Taylor and Francis, CRC Press, 2005
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Assessment methods and criteria :
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| Personal work (100%) |
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| Lins, Laurence (Maître de recherche FNRS)
Center for Numerical Molecular Biophysics
081 62 25 21
l.lins@ulg.ac.be |
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