Affiliated Graduate Programs & Research Centers
Masters in Quantitative and Systems Biology
The one-year Quantitative and Systems Biology program is to train students in quantitative and systems biology approaches and techniques that will enable them to directly enter research careers in industry or academia, or to succeed in top Ph.D. and M.D. programs.
Interdisciplinary Biological Sciences Graduate Program in Quantitative Biology
The research in Genetics, Genomics and Quantitative Biology uses multi-scale genetic approaches to measure and dissect the molecular basis of life. Scientists in these fields use both classical genetic and cutting-edge genomic techniques, coupled with molecular biology, biochemistry, cell biology and quantitative modeling to study a variety of biological questions.
Quantitative Biological Modeling
The Center's core premise is that what scientists really want through "data analysis" is to understand cause and effect, and ultimately, to discover how to control systems to produce a desired outcome. From an applied mathematical perspective, this desire is a wish for dynamical models that can accurately describe them.
Quantitative Analysis of Biology: BIO_SCI 354
BIO_SCI 354 will be a course where we cover some the landmark results in quantitative biology. Every module (of which there are 5-6) will end with analysis of a data set acquired from the authors of studies and reanalysis and re-plotting of a central result from the paper. En route to that I will teach you the biology mathematics physics and statistics required to make the plots. The landmark papers will span from studies in gene regulation, developmental biology, sequencing etc.
We will also have various crash courses in coding, image analysis, etc.Introduction to landmark insights into quantitative biology. Random genetic processes, gene expression, cell adaption, cell cycle, developmental morphogens, phylgenomics.
Professor: Madhav Mani
Quantitative Experimentation in Biology: BIO_SCI 359
BIO_SCI 359 is taught in 4 modules, which will involve students repeating experiments from some of the landmark papers in quantitative biology. Groups of students will work together and learn how to do experiments in a wet lab, perform live-imaging, conduct sequencing based studies, analyze their own data, and presentation skills.
Professor: Richard Carthew
Principles and Methods in Systems Biology: IBIS 404
IBIS 404 uses mathematical-based experimental analysis and modeling to study biological problems. The class will introduce quantitative techniques, computational tools and biological systems that help investigators analyze heterogeneous complex data about molecular networks to uncover meaningful relationships about key components.
Professor: Richard Carthew
Quantitative Biology: IBIS 410
Quantitative approaches to molecular and cell biology, focused on developing an understanding of connections between biomolecule structure and dynamics, and behavior of cells. The course will also include review of topics from statistics of random variables and statistical data analysis relevant to biology and biophysics.
Professor: John Marko
Bioinformatics: Biological Sequence and Structure Analysis: BIO_SCI 323
BIO_SCI 323 explores through case studies and classroom discussions, the principles and practical applications of computational tools in contemporary molecular and structural biology research. Besides gaining an appreciation for the algorithmic aspects of these tools, students will learn to code with python and R, design and perform experiments in silico, and critically evaluate results.
Professor: Ishwar Radhakrishnan