Computational Biology: Genomes, Networks, Evolution
Course FeaturesSelected lecture notesProjects (no examples)Assignments (no solutions)Exams (no solutions)Course Description This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and…

Post imported by Google+Blog for WordPress.

Computational Molecular Biology
Computational Molecular Biology (Biochem 218) is a practical, hands-on approach to the field of computational molecular biology. The course is recommended for both molecular biologists and computer scientists desiring to understand the major issues concerning analysis of genomes, sequences and …

Post imported by Google+Blog for WordPress.

How does a computer scientist get a job in bioinformatics?
Answer (1 of 3): I would think (but this is purely a guess) that companies such as Pacific Biosciences or Complete Genomics (to name just two interesting companies that have/need strong bioinformatics teams) would be willing to hire C. S. people and train them in biology. In my opinion, the field…

Post imported by Google+Blog for WordPress.

calibre – New in calibre 1.0
calibre: The one stop solution for all your e-book needs. Comprehensive e-book software.

Post imported by Google+Blog for WordPress.

Algorithms, Part I
Algorithms, Part I is a free online class taught by Kevin Wayne and Robert Sedgewick of Princeton University

Post imported by Google+Blog for WordPress.