392114 Grundlagen der Sequenzanalyse (V) (WiSe 2003/2004)
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Sequenzen sind allgegenwärtig. Texte und Programme, Gene und Proteine,
Polygonzüge, Sprach- und Bildsignale und digitalisiertes Vogelzwitschern
werden dargestellt als Zeichenfolgen über einem endlichen Alphabet.
Entsprechend vielfältig sind die algorithmischen Fragestellungen. Oft
ist dabei der Datenumfang sehr groß, so dass die algorithmische
Komplexität von entscheidender praktischer Bedeutung ist.In der Vorlesung werden Algorithmen zum effizienten Vergleich von
Sequenzen und zur Suche exakter und approximativer Muster in Sequenzen
behandelt. Viele dieser Algorithmen sind durch bioinformatische
Fragestellungen motiviert. Sie finden jedoch auch Anwendungen in anderen
Bereichen wie z.B. der Textverarbeitung und der Datenkompression.
Requirements for participation, required level
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Algorithmen und Datenstrukturen I & II
Bibliography
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Gusfield, D.: Algorithms on Strings, Trees, and Sequences: Computer
Science and Computational Biology. Cambridge University Press, New York,
1997.
Setubal, J. and Meidanis, J.: Introduction to Computational Biology. PWS
Publishing, Boston, M.A., 1997.
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| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bioinformatik und Genomforschung / Bachelor | (Enrollment until SoSe 2011) | Modul 8 | Pflicht | 3. | 3 | benotet | |
| Graduate School in Bioinformatics and Genome Research / Promotion | |||||||
| Molekulare Biotechnologie / Diplom | (Enrollment until SoSe 2004) | HS | |||||
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | BioI | HS |
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