18.417 Introduction to Computational Molecular Biology


Class Info

Introduces the basic computational methods used to model and predict the structure of biomolecules (proteins, DNA, RNA). Covers classical techniques in the field (molecular dynamics, Monte Carlo, dynamic programming) to more recent advances in analyzing and predicting RNA and protein structure, ranging from Hidden Markov Models and 3-D lattice models to attribute Grammars and tree Grammars.

This class has 6.01, and 6.006 as prerequisites.

18.417 will not be offered this semester. It will be available in the Fall semester, and will be instructed by .

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the Fall 2011 - 18.417 - Introduction to Computational Molecular Biology site.

MIT 18.417 Introduction to Computational Molecular Biology Related Textbooks
MIT 18.417 Introduction to Computational Molecular Biology On The Web
Fall 2011 - 18.417 - Introduction to Computational Molecular Biology
Tags
slides biology rna algorithm structure dominic rose rolf backofen jerome waldispĆ¼hl

© Copyright 2015