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Tuesday, October 5, 2010

Computational Biology (Algebraic Geometry & Statistics)

Computational biology is an interdisciplinary field that applies the techniques of applied mathematics, computer science, and statistics to address biological problems. The main focus lies in the development of computational and statistical data analysis methods and in developing mathematical modeling and computational simulation techniques. By these means it addresses scientific research topics with their theoretical and experimental questions without a laboratory.

The objective of the course is to present techniques from algebraic geometry and statistics so that participants will eventually be able to do research in bioinformatics. The course on bioinformatics is more concerned with practical issues and in some way complements this course.

The class will take place
  • Thursday, 16:00-17:30, N - ES40, room 0008
The class will start by October 21.

The labs will be held by Mahwish Saleemi,
  • Wednesday, 12:30-13:15, D - SBS95, room D1023.
The labs will start by October 27. In each week, we will assign homework in the form of two or three problems that will be discussed in the labs. The assignments will be available in the form of PDF files via Stud.IP.

The organizer of the course will be Svetlana Torgasin. If you have any questions, please direct them to her.

The course will largely follow the book
  • L. Pachter, B. Sturmfels:  Algebraic Statistics for Computational Biology, Cambridge Univ. Press, 2005.
The manuscript that has grown out of the course can be downloaded via Stud.IP,
  • K.-H. Zimmermann: Algebraic Statistics, TUHH, 2008.

Contents:
  • Basic algebraic statistical models.
  • Advanced algebraic statistical models for alignment of biomolecular sequences and phylogenetic data.
  • Basic algebraic geometry.
  • Invariants for algebraic statistical models.
The exam will be oral.

For recreation, I suggest to read about the life of Charles Darwin.

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