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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    2016-Roberto_Camporesi-A fresh look at linear ordinary differential equations with constant coefficients
    We present an approach to the impulsive response method for solving linear constant-coefficient ordinary differential equations of any order based on the factorization of the differential operator.

    Keywords: impulseGreen functionsinstructional exposition

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    Birds and Lice: Reciprocal Natural Selection
    This exercise investigates the form and function of lice and their relationship to their bird host.

    Keywords: BiodiversityparasitesbirdsCoevolutionnatural history collections

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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...

    Keywords: computationpythonJupyter notebookFunctionscentral dogmaDictionaries

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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...

    Keywords: R programming languagecourse-based undergraduate research experienceBioinformatics and GenomicsCURECUREscourse-based research experiences (CUREs)STEM CUREsComparative genomicsBioconductor

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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Sickle Cell Anemia using Nicholas’ Story
    The goal of this exercise is to introduce students to 3-D structures of biological molecules, visualize and manipulate them to understand their functions. The exercise also helps them see the...

    Keywords: Hemoglobinsickle cell diseaseMolecular Case Study

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    Coronavirus Epidemic Curves - Graphically Interpreting Derivatives
    A set of exam questions or class activity related to 'flatten the curve' during the coronavirus outbreak of 2020. Content includes: notation, first derivative, second derivative, and interpreting...

    Keywords: derivativescalculussecond derivativefirst derivativeInterpreting GraphsCOVID19coronavirus

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    REMNet Tutorial, Excel Part 4: Focusing on Taxonomy 4.26.19
    Video on analyzing microbiome data in Excel from the Research Experiences in Microbiomes Network

    Keywords: The Analysis of Biological DataExcelVideoMicrobiology Educationteaching with technologymicrobiomesSwirlresearch in the classroomREMNeturban microbiomes

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    Diversity Indices: Shannon's H and E
    This module introduces Shannon's diversity index in the context of understanding how to mathematically measure the species diversity in a community. It is intended for an introductory biology...

    Keywords: ecologydiversityFunctionsOpenStaxdiversity index

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    Lung Capacity and Rhythms in Breathing
    This module introduces rhythmic inhaling and exhaling in the context of understanding trigonometry and sine waves. It is intended for an introductory biology audience.

    Keywords: Trigonometrysine wavesAnimal Physiology

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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.

    Keywords: RStudiodata visualizationSwirl

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    Introduction to Probability, Statistics, and Random Processes
    This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.

    Keywords: textbookcurriculumcourseproblem setsolutions

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    Spreadsheet Data Analysis Tutorial Series
    This series of self-paced tutorials show how to analyze data using a spreadsheet program.

    Keywords: Resources @ HHMI - BioInteractiveScientific ProcessStatistics and MathScientific MethodologyHigh School

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    Evolution of Caffeine Biosynthesis Enzymes
    This case focuses on exploring why plants make secondary metabolites like caffeine and how the enzymes required for making caffeine evolved.

    Keywords: Evolutioncaffeinemolecular visualization and analysisenzymesPDBMolecular Case Study

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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.

    Keywords: modelingRphenologyNEONRstatscodeparticipatory live-coding

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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...

    Keywords: modelingdata analysislinear regressiongraphingExponentsoptimizationcalculusInterpreting GraphsFunctionsqbccCellular and Molecular BiologyChoosing modelsUnderstanding ratesConcepts in Statisticsmeasurementsmanipulating equationscreating graphsExponential and Logarithmic Functionsinterpreting tables

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