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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    Developing a phylogram from computational resources.
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    How do we do Bioinformatics?
    A description of the computational setup for “Foundations of Bioinformatics” (BGGN-213) See: http://thegrantlab.org/bggn213/
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    2001-Smith-Moore-The SIR Model for Spread of Disease
    A multiple part tour of SIR Models freely available with Maple, Mathematics, and MatLab support files at MAA site.
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    Discovering Prokaryotic Gene Regulation with Simulations of the trp Operon
    The trp operon exemplifies important biological concepts, including the central dogma of molecular biology, feedback inhibition, and gene regulation. For this reason, regulation of the trp operon...
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    Making toast: Using analogies to explore concepts in bioinformatics
    Contemporary biology is moving towards heavy reliance on computational methods to manage, find patterns, and derive meaning from large-scale data, such as genomic sequences. Biology teachers are...
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    2015-The European Bioinformatics Institute-BioModels Database
    BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references.
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    Sequence Similarity: Introducing Biological Databases to Community College Biology Students
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    2007-Hui_Luo-Population Modeling by Differential Equations
    A general model for the population of Tibetan antelope is constructed. The present model shows that the given data is reasonably logistic.
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    2017-Xiang_Liu-Mathematical Studies of Optimal Economic Growth Model with Monetary
    In this paper, efforts will be made to study an extended Neoclassic economic growth model derived from Solow-Swan Model and Ramsey-Cass-Koopsman Model.
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    2014-XM-Huang-Ordinary Differential Equation Model and its Application in the Prediction Control of Population
    In this paper, we study two kinds of ordinary differential equation models, i.e., Malthus model and Logistic model, and discuss their applications in the prediction control of population.
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    Fitzhugh-Nagumo Model
    The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).
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    Teaching Advanced Concepts in Regulation of the Lac Operon With Modeling and Simulation
    Success in biochemistry and other life science courses requires that students understand important biological concepts. One of these concepts is how gene regulation ensures that homeostasis is...
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    Healing the scars: Tropical rainforest carbon cycling. Does it matter which tree species you plant?
    This online module explores how differences in traits of tropical tree species translate into differential effects on the carbon cycle, integrating ecological information across scales and the...
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    Tools: New tools for new science
    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
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    2003-Knorrenschild-Gross-Text Books on Mathematical Modeling in Biology
    Text Books on Mathematical Modeling in Biology Compiled from the Internet by Michael Knorrenschild,
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    Java array and random number generator, hints
    Java, UTC, Fall 2017
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    Java String array demo, switch two elements in an array
    CPSC1100, UTC Fall 2017
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    Java array demo, loop over assignment and print
    CPSC1100, UTC, Fall 2017
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