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    LEAGSEA
    How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute
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    Ethics in Synthetic Biology
    This collection of five activities provide students with an introduction to thinking about ethical concerns in human genome synthesis, gene editing, metabolic engineering, and synthetic genomes.
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    Should we synthesize a human genome?
    Two articles introducing the Human Genome Project-Write and asking questions about the ethics of the project.
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    The Edge Effect
    This module has students venturing outdoors to take a 50m transect and collect abundance data on plants utilizing quadrats in both edge and interior environment. Mathematically the goals of this...
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    2014-Yahdi-EtAl-Modeling and Sensitivity Analysis of the Role of Biodiversity to Control Pest Damage in Agroecosystems
    The paper provides a mathematical framework for cost-effective and environmentally safe strategies to minimize alfalfa damage from pests in alfalfa agroecosystems with optimal biodiversity levels.
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    3D breast cancer tissue reconstruction
    This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
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    Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps
    Organized Oral Session at the Ecological Society of America annual meeting, August 8th, 2017 Portland Oregon.
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    Investigation of Subunit Interactions of Glyoxysomal Malate Dehydrogenase Using Engineered Cysteine Residues
    A research poster.

    Keywords: JoCURE

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    Ethics of Metabolic engineering
    This is an ethical reflection for students on an issue in metabolic engineering and the potential for "home-brew" morphine. The case study asks students to reflect on material in the linked...
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    Ethics in synthetic genomics
    This is an ethical reflection for students on an issue in genome engineering and the synthesis of potentially infectious viruses. The case study asks students to reflect on material in the linked...
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    Ethics of Gene Editing
    This is an ethical reflection for students on an issue in gene editing. The case study asks students to reflect on material in the two linked articles. Also included is the grading rubric.
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    1-057-FiguringFluidFlow-ModelingScenario
    We propose three differential equations models for the height of a column of falling water as the water exits a small bore hole at the bottom of the cylinder and ask students to determine which...
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    1-015-DimensionlessVariables-TechniqueNarrative
    This material introduces the idea of ``rescaling'' for ordinary differential equations (ODE's) by the use of dimensionless variables. In practice this is an extremely common and useful prelude to...
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    2014-Rogert_Smith-Mathematical Modeling of Zombies
    Here, we use diffusion to model the zombie population shuffling randomly over a one-dimensional domain.
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    1-134-LanguageDynamics-ModelingScenario
    Students will be introduced to a mathematical model for language dynamics. Specifically, the model describes the change in the fraction of a population speaking one language over another.
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    1-160-HeartDeathRate-ModelingScenario
    Students simulate experience from a given data set which represents the heart death rate during the period 2000 - 2010 using several approaches to include exponential decay, difference equation,...
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    1-096-OP-AMP-Differentiator-ModelingScenario
    The output waveform (function) of a operational amplifier type of differentiator circuit is determined analytically from the first order governing ordinary differential equation and compared with...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate...
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    An Introduction to Statistical Learning: with Applications in R
    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
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