Ray and Stephanie Lane Computational Biology Department Archived Courses
Note: The courses on this list have not been offered in 4 or more years. At the moment there are no plans to hold them in the future. These archived course descriptions are listed here for past reference only.
To view a list of our current courses, please visit the Undergraduate Courses and Graduate Courses pages.
02-223 Personalized Medicine: Understanding Your Genome (offered infrequently)
Do you want to know how to discover the tendencies hidden in your genome? Since the first draft of a human genome sequence became available about a decade ago, the cost of genome sequencing has decreased dramatically. It is expected that personal genome sequencing will…
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02-317 Algorithms in Nature (offered infrequently)
Computer systems and biological processes often rely on networks of interacting entities to reach joint decisions, coordinate and respond to inputs. There are many similarities in the goals and strategies of biological and computational systems which suggest that each can…
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02-318 Intro to Computational Medicine
This course is an introduction to computational methods relevant to the diagnosis and treatment of human diseases. It is the microcourse version of 02-518, Computational Medicine. The course begins with an introduction to the field of Medicine, and an overview of the…
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02-421 Algorithms for Computational Structural Biology
This course will introduce students to algorithms used in the determination, simulation, and engineering of molecular structures. Topics covered include: molecular dynamics simulations, protein structure prediction, and computer-aided design of drugs and proteins. Course…
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02-422 Advanced Algorithms for Computational Structural Biology
This is a seminar-style course on the current literature in computational structural biology. Topics will include algorithms for designing drugs and proteins, as well as protein structure prediction and simulation. Students will be expected to read and discuss papers and…
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02-511 Computational Molecular Biology and Genomics
An advanced introduction to computational molecular biology, using an applied algorithms approach. The first part of the course will cover established algorithmic methods, including pairwise sequence alignment and dynamic programming, multiple sequence alignment, fast…
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02-530 Cell and Systems Modeling (offered infrequently)
This course will introduce students to the theory and practice of modeling biological systems from the molecular to the organism level with an emphasis on intracellular processes. Topics covered include kinetic and equilibrium descriptions of biological processes,…
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02-711 Computational Molecular Biology and Genomics (offered infrequently)
An advanced introduction to computational molecular biology, using an applied algorithms approach. The first part of the course will cover established algorithmic methods, including pairwise sequence alignment and dynamic programming, multiple sequence alignment, fast…
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02-716 Cross-Species Systems Modeling
Model organisms have longed played an important role in basic science studies and in the pharmaceutical industry. These organisms, ranging from yeast to worms to flies, share many processes that are similar to those active in humans which have made these and other animals…
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02-717 Algorithms in Nature (offered infrequently)
Computer systems and biological processes often rely on networks of interacting entities to reach joint decisions, coordinate and respond to inputs. There are many similarities in the goals and strategies of biological and computational systems which suggest that each can…
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02-721 Algorithms for Computational Biology
Some of the most interesting algorithmic challenges in Biology and Bioengineering arise from the modeling, simulation, and engineering of biological macromolecules at, or near atomic resolution. This course covers a variety of algorithms used to study and…
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02-722 Advanced Algorithms for Computational Structural Biology
This is a seminar-style course on the current literature in computational structural biology. Topics will include algorithms for designing drugs and proteins, as well as protein structure prediction and simulation. Students will be expected to read and discuss papers and…
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