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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis

    Keywords: Rdata analysisbig datadata managementstatistical methods

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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis

    Keywords: Rdata analysisecological datasets

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    Chapter 10: Two-way analysis of variance
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    LEAGSEA
    How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute

    Keywords: videosbioinformaticsgenomicsyoutubeLEAGSEAgene set enrichmentLeading Edge Analysis

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    Chapter 9: One-way analysis of variance
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    GSEAtheory
    Brief introduction to how gene set enrichment analysis works.

    Keywords: videosbioinformaticsgenomicsyoutubegsea

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    Chapter 8: Comparing two means: the t-test
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    Learn Biological Sciences and Physics through scientific process, creation, experimentation and analysis
    Microbes remain attached and grow on various surfaces whether living or non-living. These surfaces provide differential growth substances for microbes to remain attached or grow. The differential...

    Keywords: data analysisscientific methodphysicshands-onScientific InquirymicrobesBiological SciencesSpectrophotometer

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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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    Phylogeny of Land Plants
    In this lab, students review the characteristics of the major land plant lineages. Then they perform phylogenetic analyses based on morphological characters.

    Keywords: morphologyphylogenylaboratoryplantsmolecular analysis

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    Learn Biological Sciences and Mathematics through cellular respiration, photosynthesis and primary productivity.
    Photosynthesis is a process by which plants synthesize glucose and oxygen in presence of sunlight through light dependent reactions by utilization of sunlight, water to synthesize oxygen, ATP and...

    Keywords: mathematicssimulationThe Analysis of Biological DataMetabolic Pathwaysprocess of sciencephotosynthesisqbccBiological ScienceshypothesisCellular Respirationprimary productivity

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    Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics
    Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...

    Keywords: statisticsmathematicsdata analysisdatalinear regressionbiologyonlinegraphinglinear equationsQuantitative reasoningassessmentcollege algebracellstatistical analysisregressionOERAlgebrachemistryModelscorrelationSimple Linear RegressionMicrosoft Excellab activityexperimentCellular ProcessesATPqbccUsing Excelmanipulate equationsCellular and Molecular BiologyConcepts in Statisticsoxidationline of best fitexplaining statisticsusing statisticsCellular RespirationPredictionsRespirationgraphing in ExcelLinear CorrelationExothermic Reactioncreate scatter plotAdenosine Triphosphate (ATP)germinating peasPre-lab activityStudent activityHybridCollecting DataR-squareRegression ModelFunctionDependent VariablesIndependent VariablesLinear EquationLinear Equation in two variablescreate graphcreate equationcreate regressioncreate plotinterpret regressioninterpret data

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    Exploring global reef health and human population using correlation and simple linear regression
    In this lesson, students will explore the relationship between reef cover and human disturbance. Students will manipulate a large dataset and perform normality tests, data transformations,...

    Keywords: population dynamicshumanlinear regressionconservationcorrelationRestorationcoral reefs

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    Chapter 2: Data sampling, accuracy, and precision
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    Keywords: biostatisticsR programming language

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    Bioinformatics: the Power of Computers in Biology – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.

    Keywords: NIBLSEGOBLET

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    Modeling Soil Fluxes with NEON Data
    This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON,...

    Keywords: modelingdata analysisplant/soil/water interactions

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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...

    Keywords: graphingexponential growthlinear modelsqbccinterpolationConcepts in Statistics and Precalculus Understanding exponential rates and linear slopesExtrapolation

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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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    Graphing Techniques for Introductory Microbiology
    This module will introduce the introductory microbiology students to graphing skills to visualize and interpret the data to investigate the effect of environmental factor (temperature) on bacterial...

    Keywords: data analysisgraphinggraph interpretationdata interpretationmicrobiologySTEM educationtemperaturegroup workBEDENet FMNbacterial growth

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    Examining human impacts on tusk evolution in elephants using authentic research data
    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
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