392105 Sequenzanalyse (V) (WiSe 2024/2025)

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Sequenzen sind allgegenwärtig. Texte und Programme, Genome und Proteine, Webseiten, 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.

Bibliography

  • Das Skript zur Vorlesung (siehe externe Kommentarseite)
  • 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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39-Inf-12 Sequenzanalyse Sequenzanalyse Student information
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39-Inf-12_ver1 Sequenzanalyse Sequenzanalyse Ungraded examination
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39-M-MBT12 Spezialisierung Biologie/Chemie/Informatik/Physik/Gesundheitswissenschaften 1 Spezialisierungsmodule Biologie, Biochemie, Bioinformatik, Chemie und Genomforschung Student information

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