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    Using Bioinformatics to Understand Genetic Diseases: A Practical Guide
    This Practical Guide outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases.
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    SEIR simulation activity for flattening the curve
    This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...

    Keywords: RRStudioInfectious Disease ModelingSIR modelsSIRseircovidcoronavirus

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    The p53 Gene and Cancer
    This tutorial describes the structure and function of the p53 protein, how its activity is regulated in cells, and how mutant versions of p53 can lead to cancer.

    Keywords: Resources @ HHMI - BioInteractiveBiochemistrymolecular biologymacromoleculesGenetic disease

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    Drug screening and cancer resistance: EGFR Activity
    This activity explores a specific gene (egfr) and its role in cancer. EGFR was introduced with the Gene Card Activities, researched throughout the semester, and then authentic image data of...

    Keywords: Resources @ HHMI - BioInteractivegenomicscancergenetic basis of diseasebiology of cells

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    Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom
    Resource from the 2015 BioQUEST Summer Workshop

    Keywords: image analysisCellProfilerfluorescence microscopymicroscopycellular analysis

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    Parasite Lifecycle Storybook: Nick the Tick
    Nick the Tick is story about parasite lifecycles suitable for use in university or K-12 settings. The story is about a newly hatched tick named Nick and his adventures as he attempts to find his...

    Keywords: parasiteslife cyclesscience illustrationStorybook

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    2014-Eckhoff-EtAl-Fun with maths-exploring implications of mathematical models for malaria eradication
    . In this note, four examples demonstrate both the effects of model structures and assumptions and also the benefits of using a diversity of model approaches fomalaria eradication strategies.

    Keywords: vaccinemalariamigrationeradicationseasonality

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    2007-Choisy-Guégan-Rohani-Mathematical Modeling of Infectious Diseases Dynamics
    After presenting general notions of mathematical modeling (Section 22.2) and the nature of epidemiological data available to the modeler (Section 22.3), we detail the very basic SIR epidemiological...

    Keywords: stochasticSIR modeldeterministicincubationinfectives

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    2006-Shigui_Ruan-Delay differential equations in single species dynamics
    In this survey, we shall review various delay differential equations models arising from studying single species dynamics.

    Keywords: allee_effectdelayed biological systemsfood limitperiodiciityrecruitment modelRegulation of Haematopoiesis

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    2006-Ousmane_Mousa_Tessa-Mathematical model for control of measles by vaccination
    In this article, we use a compartmental mathematical model of the dynamics of measles spread within a population with variable size to provide this framework.

    Keywords: vaccinationcompartmentherd immunitymeaslesoptimal strategy

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    2014-Bozkurt-Peker-Mathematical modelling of HIV epidemic and stability analysis
    A nonlinear mathematical model of differential equations with piecewise constant arguments is proposed. This model is analyzed by using the theory of both differential and difference equations to...

    Keywords: diseaselogisticHIVpiecewise constantIndia

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    2018-Van_Kinh Nguyen-Esteban_Hernandez-Vargas-Parameter estimation in mathematical models of viral infections using R
    Mathematical modeling has played a central role to understand mechanisms in different viral infectious diseases. In this approach, biological-based hypotheses are expressed via mathematical...

    Keywords: simulationdiseasevirusviral infection

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    1-022-SpreadOfTechnologies-ModelingScenario
    We examine plots on the spread of technologies and ask students to estimate and extract data from the plots and then model several of these spread of technologies phenomena with a logistic...

    Keywords: data analysistechnologylogisticspreadinnovation

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    6-019-EnablingEpidemicExploration-ModelingScenario
    We became aware of several interesting possibilities for a modeling opportunity with data and we invited you to explore the several routes to parameter estimation in a SIR model with respect to the...

    Keywords: Akaike Information CriterionMichaelis-Mentenepidemicsaturationgradientleast sum of square errors

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    6-009-FakeNews-ModelingScenario
    In modern society, creating and disseminating information is easier than ever. In this project, you will model the spread of fake news and investigate ways to deter distributing misinformation.

    Keywords: sensitivity analysisSIR modelsSIS modelfake news

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    1-037-CommonColdSpread-ModelingScenario
    This modeling scenario guides students to simulate and investigate the spread of the common cold in a residence hall. An example floor plan is given, but the reader is encouraged to use a more...

    Keywords: diseasecommon coldresidence hall

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    Using Linear Regression Adaptation: Exploring Vector-borne diseases in an online classroom
    In this adaptation students in online classrooms will use linear regression at home and in synchronous online time to analyze real data on vector-borne diseases and explore how environmental...

    Keywords: ecologygraphingmicrobiologyqbccUnderstanding ratesCreate graphsInterpret graphsinterpret tablesConcepts in Statistics

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    Using Bioinformatics Activities to understand the Past and Present of SARS-CoV2
    We have designed a Bioinformatics activity that uses tools to identify the origins and mutations in the novel SARS-CoV2 strains.
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    Graphing an Epidemic: West Africa Ebola Epidemic
    In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were...

    Keywords: epidemiologyepidemicsEbola

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    Data Analysis and Cancer
    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis...

    Keywords: Resources @ HHMI - BioInteractiveBiochemistrymolecular biologydata interpretationBiological Data Analysiscell cyclemacromoleculesGenetic diseaseCell signaling

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