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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...

    Keywords: Rdata analysisRStudio

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    A Hands-on Introduction to Hidden Markov Models
    In this Lesson, we describe a classroom activity that demonstrates how a Hidden Markov Model (HMM) is applied to predict a eukaryotic gene, focusing on predicting one exon-intron boundary. This HMM...

    Keywords: transcriptionexonintronsplicing

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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...

    Keywords: gene regulationinducible operonProkaryotic cellPhosphoenolpyruvate transferase system (PTS)

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    Case Study — World records as measures of senescence or randomness
    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...

    Keywords: RRStudioprogrammingsampling distributionProbability & Statisticsrandomnesscontinuous probability distribution

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    A Letter to a Young Scientist: Prompting Students To Reflect On And Recognize Their Own Growth As Scientists
    This activity is designed to prompt students to reflect on and recognize their own growth as scientists and, consequently, may help develop student self-efficacy and science identity.
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    2017-Brandi-Garcia-Motivating engineering students to math classes - Practical experience teaching ODEs
    In this paper we propose an approach to teaching-learning process of mathematical concepts to engineering students with a motivational factor: a practical problem to be modeled in which students...

    Keywords: computational toolsteachingengineering studentspractical problem

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    2015-European_Bioinformatics_Institute-Bio-Models-Database
    Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...

    Keywords: biologydatabasebioinformaticsModelscomputational models

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    Needleman - Wunsch Algorithm Exercise
    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    Keywords: bioinformaticsUndergraduateNIBLSEalgorithmsincubatorsAudience LevelAdvancedActivity Length1 HourNeedleman-WunschC2. Computational conceptsIncubated at NIBLSE

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    Bioinformatics / Neuroinformatics
    This module is a computer-based introduction to bioinformatics resources.  This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...

    Keywords: bioinformaticsNIBLSEImageJquantitative trait locusQTL

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    Critical Zone Science Part II
    As part of our effort to model the redwood forest water budget, we used the InTeGrate Unit 5.2 to put numbers to pathways.
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    Populus: Simulations of Population Biology
    Link to Populus Software

    Keywords: simulationpopulation growthpopulus

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    Modernizing Statistics Education via Biology Applications
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

    Keywords: statisticsEvolutiondata analysiscourse

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    Introduction to Quantitative Biology - Fall 2014 Syllabus
    Syllabus for Introduction to Quantitative Biology taught at the College of William and Mary.

    Keywords: quant biosyllabus

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    DNA Subway Learning Resources
    DNA Subway is a NIBLSE Recommended resource. This is a collection of learning resources associated with DNA Subway.

    Keywords: phylogeneticsIntroductoryLabbioinformaticsUndergraduateNIBLSEDNA BarcodingDNA sequenceBLASTmultiple sequence alignmentDNA SubwayInstructional SettingAudience LevelAdvancedActivity LengthExtended ProjectC1. Role of bioinformaticsC2. Computational conceptsC4. Bioinformatics toolsC5. Data retrievalC8. Data types

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    Understanding Protein Domains: A Modular Approach
    An understanding of protein structure, function, and interaction is central to biochemistry. One angle into this topic is to engage students in considering protein domains as modules that develop...

    Keywords: Protein Structure

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    BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis
    When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about...

    Keywords: statisticssample sizeBiological variation

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    Visual Datasets
    This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny.

    Keywords: moduleEvolutionResources @ BioQUESTonlinephylogenyonline learning

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    2017-Alex_Honchar-Neural Networks For Solving Differential Equations
    In this post I want to show how I applied simple feed-forward NNs to different differential equations with increasing complexity: ODEs, second order ODEs, and, finally, PDEs.

    Keywords: neural networksCybenko theoremdiffusion equationfluid dynamics

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    2013-Fathalla_Rihan-Delay Differential Equations in Biosciences - Parameter estimation and sensitivity analysis
    This is a review article to show that delay differential models have a richer mathematical framework (compared with models without memory or after-effects) and a better consistency with biological...

    Keywords: epidemiologysensitivityImmunologyphysiologyRK-methodstime-lags

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    2012-Brian_Ingalls-Mathematical_Modelling_in_Systems_Biology
    This text provides an introduction to dynamic mathematical modeling of cellular processes. The emphasis is on using computational tools to investigate models of cellular phenomena.

    Keywords: biologygene regulatory networksModelsmetabolic networkssignal transduction pathwayselectrophysiology

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