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Course Criteria
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0.00 - 4.00 Credits
Course focuses on the application of mathematical methods to biological problems and is intended to provide a basic grounding in mathematical modeling and data analysis for students who might not have pursued further study in mathematics. Topics include differential equations, linear algebra, difference equations, and probability. Each topic has a lecture component and computer laboratory component. Lectures are in common with MOL 410. Students work extensively with the computing package Matlab. No previous computing experience necessary. Two 90-minute lectures, one laboratory.
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0.00 - 4.00 Credits
Close reading of published papers illustrating the principles, achievements, and difficulties that lie at the interface of theory and experiment in biology. Two important papers, read in advance by all students, will be considered each week; the emphasis will be on discussion with students as opposed to formal lectures. Topics include: cooperativity, robust adaptation, kinetic proofreading, sequence analysis, clustering, phylogenetics, analysis of fluctuations, and maximum likelihood methods. A general tutorial on Matlab and specific tutorials for the four homework assignments will be available.
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0.00 - 4.00 Credits
Course presents the genetic tools and logical framework currently used research in developmental biology, neurobiology and quantitative biology of multicellular organisms. Lecture topics and reading material focus on primary literature describing genetic approaches used in model organisms such as Drosophila, C. elegans, mouse and zebrafish. Techniques are presented in a context emphasizing basic biological phenomena and include mutagenesis, production and analysis of genetic mosaics, production of transgenics, ES cells, knock-in technologies and cell type specific expression gene expression.
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0.00 - 4.00 Credits
Course focuses on how intracellular components are organized, mechanisms of reorganization during cellular processes, and how changes in this organization impact cell behaviors. The dynamics of forming complex multicellular tissues will also be examined. Other topics include spatial-temporal changes during cell growth and division, cell motility, polarity, shape changes, and cell differentiation using examples from both prokaryotes and eukaryotes. Analysis of techniques used to study cell architecture will also be covered. Lectures in common with MOL 420. Graduate students do a final project in the form of an oral presentation.
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0.00 - 4.00 Credits
We will explore the molecular events leading to the onset and progression of human cancer. We will review the central genetic and biochemical elements that make up the cell cycle, followed by a survey of the signal transduction pathways and checkpoints that regulate it. We will discuss oncogenes, tumor suppressor and mutator genes that act in these pathways and review the role of viral oncogenes and their action on cells. We will investigate the role of cancer stem cells and the interaction between tumor and the host environment. We will explore specific clinical case studies in light of the molecular events underlying different cancers.
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0.00 - 4.00 Credits
Explores the interactions of cells with their surroundings at a molecular and cell biological level. It begins with an introduction to a number of basic signal transduction pathways, a characterization of their respective receptors and the molecular pathways that communicate between the cell surface and the nucleus. Discusses how signaling establishes axes of cell polarity and cell fate decisions. Addresses the cell's response to nutritional cues and other extracellular signals that influence cell growth, cell division and cell physiology. Experimental data and modelling approaches will be discussed.
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0.00 - 4.00 Credits
Statistical methods for biology research, with a special focus on modern problems. Topics may include likelihood, Bayesian methods, bootstrap, EM algorithm, regularization, generalized additive models, principal components analysis, multiple hypothesis testing, causality, and graphical models. The statistical software R will be used to explore methods and anlyze biological data.
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0.00 - 4.00 Credits
No course description available.
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0.00 - 4.00 Credits
An in-depth discussion of the genetic analysis of microbial systems, emphasizing examples from both prokaryotes and lower eukaryotes. The first part of the course features article-based discussions of the rationale, uses and limitations of advanced methods of genetic analysis, including suppression, synthetic lethality, and unlinked non-complementation. The remainder of the course consists of student led seminars on topics of current interest with the secondary aim of achieving proficiency in the public presentation of scientific seminars.
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0.00 - 4.00 Credits
Structure-function relationships in health and disease. Topics include the development and regeneration of mammalian epidermal and dermal structures, inflammation and wound healing, cancer and aging. Pharmaceutical and cosmeceutical interactions will also be addressed.
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