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Computational Biology

A back of the envelope approach to problems from RNA folding to the unfurling of Darwin's evolutionary tree.

About this course

Computational biology merges the algorithmic thinking of the computer scientist with the problem solving approach of physics ... Read more

Computational biology merges the algorithmic thinking of the computer scientist with the problem solving approach of physics to address the problems of biology. Since the year 2000, an ocean of sequencing data has emerged that allows us to ask new questions.

Here we'll develop intuition for a selection of foundational problems in computational biology like genome reconstruction, sequence alignment, and building phylogenetic trees to look at evolutionary relationships. We also address certain physicochemical problems of molecular biology like RNA folding.

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