Undergraduate certificate Quantitative and Computational Biology
Bachelor's degree
In Princeton (USA)
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Newcastle-under-Lyme College (NULC)
A Level Classroom-basedPrice on request -
Weymouth College
Course OnlinePrice on request -
CNELM
Course Distance LearningPrice on request -
University of Dundee
Master Distance Learning£ 14,000 -
Courses For Success
Course OnlinePrice on request -
King's College London
Master Distance Learning£ 17,196 -
University College London
Postgraduate Distance Learning£ 10,740
See all
Description
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Type
Bachelor's degree
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Location
Princeton (USA)
The Program in Quantitative and Computational Biology is offered by the Lewis-Sigler Institute for Integrative Genomics and its affiliated departments. It is designed for students with a strong interest in multidisciplinary and systems-level approaches to understanding molecular, cellular, and organismal behavior. The curriculum introduces students to experimental and analytic techniques for acquisition of large-scale quantitative observations, and the interpretation of such data in the context of appropriate models. Strong emphasis is placed on using global genome-wide measurements (e.g., microarray gene expression, sequence, phenotype) to understand physiological and evolutionary processes.
Facilities
Location
Start date
Start date
Reviews
Subjects
- GCSE Physics
- Computational
- Genomics
- Physics Chemistry
- Systems
- School
- Calculus
- Molecular Biology
- Biology
Course programme
ISC 231 An Integrated, Quantitative Introduction to the Natural Sciences I (also
CHM 231
COS 231
/
MOL 231
/
PHY 231
) Fall STL An integrated, mathematically and computationally sophisticated introduction to physics, chemistry, molecular biology, and computer science. Alternative to the combination of PHY 103-104, CHM 201-202, MOL 214 and COS 126. Students must enroll in ISC231 and ISC232 in the fall and ISC233 and ISC234 in the spring. Prerequisites: familiarity with calculus at the level of MAT103/104 or Advanced Placement Calculus BC, solid high school physics and chemistry courses. Five lectures, one three-hour laboratory, one three-hour computational laboratory, one evening problem session. T. Gregor, E. Wieschaus, M. Wühr
ISC 232 An Integrated, Quantitative Introduction to the Natural Sciences I (also
CHM 232
COS 232
/
MOL 232
/
PHY 232
) Fall QR An integrated, mathematically and computationally sophisticated introduction to physics, chemistry, molecular biology, and computer science. Alternative to the combination of PHY 103-104, CHM 201-202, MOL 214 and COS 126. Students must enroll in ISC 231 and ISC 232 in the fall and ISC 233 and ISC 234 in the spring. Prerequisites: familiarity with the calculus at the level of MAT 103-104 or Advanced Placement Calculus BC, solid high school physics and chemistry courses. Five lectures, one three-hour laboratory, one three-hour computational laboratory, one evening problem session. T. Gregor, E. Wieschaus, M. Wühr
ISC 233 An Integrated, Quantitative Introduction to the Natural Sciences II (also
CHM 233
COS 233
/
MOL 233
/
PHY 233
) Spring STL An integrated, mathematically and computationally sophisticated introduction to physics and chemistry, drawing on examples from biological systems. Alternative to the combination of PHY 103-104, CHM 201-202, MOL 214, and COS 126. Students must enroll in ISC 231 and ISC 232 in the fall and ISC 233 and ISC 234 in the spring. Prerequisites: familiarity with the calculus at the level of MAT 103-104 or Advanced Placement Calculus BC, solid high school physics and chemistry courses. Five lectures, one three-hour laboratory, one three-hour computational laboratory, one evening problem session. J. Shaevitz, O. Troyanskaya, M. Wühr
ISC 234 An Integrated, Quantitative Introduction to the Natural Sciences II (also
CHM 234
COS 234
/
MOL 234
/
PHY 234
) Spring An integrated, mathematically and computationally sophisticated introduction to physics and chemistry, drawing on examples from biological systems. Alternative to the combination of PHY 103-104, CHM 201-202, MOL 214 and COS 126. Students must enroll in ISC 231 and ISC 232 in the fall and ISC 233 and ISC 234 in the spring. Prerequisites: familiarity with the calculus at the level of MAT 103-104 or Advanced Placement Calculus BC, solid high school physics and chemistry courses. Five lectures, one three-hour laboratory, one three-hour computational laboratory, one evening problem session. J. Shaevitz, O. Troyanskaya, M. Wühr
ISC 326 Human Genomics: The Past, Present and Future of the Human Genome (also
EEB 326
MOL 326
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GHP 326
) Spring The completion of the human genome and the continuing effort to sequence tens of thousands of human genomes is yielding unprecedented insights into human biology and the evolutionary history of our species. We will review the key advances enabling researchers to decipher the structure and function of the human genome as well as the genetic basis of variation among individuals and populations. Topics include the evolutionary origins and current structure of human populations, methods for detecting genomic features, cancer genomics and mapping the genes and variants underlying population-specific adaptations and disease susceptibility. J. Ayroles, M. Singh
QCB 302 Research Topics in QCB Fall STN This class is aimed at sophomores and juniors pursuing the QCB Certificate. Students choose a lab and engage in independent research by start of fall term. Course is centered on discussion, guidance, and feedback on student's own independent research. Students will learn to think critically about quantitative and computational experimental design, data analysis, and scientific communication. Students will present background research and progress reports. Written work includes an NSF-style research proposal and problem sets. Course culminates in a final symposium that is open to the public. Prerequisites: ISC231-234 or equivalent preparation. A. Amodeo, S. Kocher, S. Davidson
QCB 408 Foundations of Applied Statistics and Data Science (with Applications in Biology) Spring QR This course establishes a foundation in applied statistics and data science for those interested in pursuing data-driven research. The course may involve examples from any area of science, but it places a special emphasis on modern biological problems and data sets. Topics may include data wrangling, exploration and visualization, statistical programming, likelihood based inference, Bayesian inference, bootstrap, EM algorithm, regularization, statistical modeling, principal components analysis, multiple hypothesis testing, and causality. The statistical programming language R will be extensively used to explore methods and analyze data. J. Storey
QCB 455 Introduction to Genomics and Computational Molecular Biology (also
MOL 455
COS 455
) Fall QR Introduction to computational and genomic approaches used to study molecular systems. Topics include computational approaches to sequence similarity and alignment, phylogenetic inference, gene expression analysis, structure prediction, comparative genome analysis, and high-throughput technologies for mapping genetic networks. Two lectures, one preceptorial. J. Akey, M. Singh
QCB 490 Molecular Mechanisms of Longevity: The Genetics, Genomics, and Cell Biology of Aging (also
MOL 490
Undergraduate certificate Quantitative and Computational Biology
-
Newcastle-under-Lyme College (NULC)
A Level Classroom-basedPrice on request -
Weymouth College
Course OnlinePrice on request -
CNELM
Course Distance LearningPrice on request -
University of Dundee
Master Distance Learning£ 14,000 -
Courses For Success
Course OnlinePrice on request -
King's College London
Master Distance Learning£ 17,196 -
University College London
Postgraduate Distance Learning£ 10,740
See all