02-120 Programming for Scientists
Provides a practical introduction to programming for students with little or no prior programming experience who are interested in science. Fundamental scientific algorithms will be introduced, and extensive programming assignments will be based on analytical tasks that鈥�
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02-250 Intro to Computational Biology
This class provides a general introduction to computational tools for biology. The course is divided into two halves. The first half covers computational molecular biology and genomics. It examines important sources of biological data, how they are archived and made鈥�
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02-251 Great Ideas in Computational Biology
This 12-unit course provides an introduction to many of the great ideas that have formed the foundation for the transformation of the life sciences into a fully-fledged computational discipline. This gateway course is intended as a first exposure to computational biology鈥�
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02-261 Quantitative Cell and Molecular Biology Laboratory
This is an introductory laboratory-based course designed to teach basic biological laboratory skills used in exploring the quantitative nature of biological systems and the computational reasoning required for performing research in computational biology. Over the course鈥�
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02-319 Genomics and Epigenetics of the Brain
This course will provide an introduction to genomics, epigenetics, and their application to problems in neuroscience. The rapid advances in single cell sequencing and other genomic technologies are revolutionizing how neuroscience research is conducted, providing tools to鈥�
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02-331 Modeling Evolution
Some of the most serious public health problems we face today, from drug-resistant bacteria, to cancer, all arise from a fundamental property of living systems -- their ability to evolve. Since Darwin's theory of natural selection was first proposed, we have begun to鈥�
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02-402 Computational Biology Seminar
This course consists of weekly invited presentations on current computational biology research topics by leading scientists.
02-403 Special Topics in Bioinformatics and Computational Biology
This is a mini Special Topics course taught on an occasional basis to cover different topics in computational biology.
02-414 String Algorithms
Provides an in-depth look at modern algorithms used to process string data, particularly those relevant to genomics. The course will cover the design and analysis of efficient algorithms for processing enormous amounts of collections of strings. Topics will include string鈥�
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02-425 Computational Methods for Proteogenomics and Metabolomics
Proteomics and metabolomics are the large scale study of proteins and metabolites, respectively. In contrast to genomes, proteomes and metabolomes vary with time and the specific stress or conditions an organism is under. Applications of proteomics and metabolomics include鈥�
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02-450 Automation of Scientific Research
Automated scientific instruments are used widely in research and engineering. Robots dramatically increase the reproducibility of scientific experiments, and are often cheaper and faster than humans, but are most often used to execute brute-force sweeps over experimental鈥�
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02-500 Undergraduate Research in Computational Biology
This course is for undergraduate students who wish to do supervised research for academic credit with a Computational Biology faculty member.
02-510 Computational Genomics
Dramatic advances in experimental technology and computational analysis are fundamentally transforming the basic nature and goal of biological research. The emergence of new frontiers in biology, such as systems biology, is demanding new methodologies that can confront鈥�
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02-512 Computational Methods for Biological Modeling and Simulation
This course covers a variety of computational methods important for modeling and simulation of biological systems. It is intended for graduates and advanced undergraduates with either biological or computational backgrounds who are interested in developing computer models鈥�
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02-518 Computational Medicine
Modern medical research increasingly relies on the analysis of large patient datasets to enhance our understanding of human diseases. This course will focus on the computational problems that arise from studies of human diseases and the translation of research to the鈥�
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02-740 Bioimage Informatics
With the rapid advance of bioimaging techniques and fast accumulation of bioimage data, computational bioimage analysis and modeling are playing an increasingly important role in understanding of complex biological systems. The goals of this course are to provide students鈥�
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