[Bioundgrd] Fwd: 6.095(U)/6.895(G) Computational Biology: Genomes - Networks - Evolution

[Janice Chang]

>
>__________________________________________________________
>6.095(U)/6.895(G)  Computational Biology: Genomes - Networks - Evolution
>
>Covers 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 proteomics.
>
>Genomes: Biological sequence analysis, hidden Markov models, gene 
>finding, RNA folding, sequence alignment, genome assembly.
>Networks: Gene expression analysis, regulatory motifs, graph 
>algorithms, scale-free networks, network motifs, network evolution.
>Evolution: Comparative genomics, phylogenetics, genome duplication, 
>genome rearrangements, evolutionary theory, rapid evolution.
>
>Course Announcement:
>
>Sept 8: First class meets at 11 in 3-370
>
>Course announcement:
>http://compbio.mit.edu/6.895/6095poster.pdf
>Professors: Manolis Kellis (manoli at mit dot edu) and Piotr Indyk
>
>Engineering Concentration: Theory of Computer Science
>Course numbers:
>6.095 (U): Undergraduate version. Includes midterm, final project. 
>No final exam.
>6.895 (G): The graduate version of the course includes additional 
>assignments, a more ambitious final project, which can lead to a 
>thesis / publication.