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    Spreadsheet Tutorial 5: Histogram
    Generate a histogram using a variety of methods.

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

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    Spreadsheet Tutorial 4: t-Test
    Calculate t-values and perform t-tests using built-in functions.

    Keywords: Resources @ HHMI - BioInteractiveScientific ProcessStatistics and MathScientific Methodology

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    Spreadsheet Tutorial 3 - Column Graphs, Error Bars, and Standard Error of the Mean
    Generate a column or bar graph with standard error bars.

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

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    Spreadsheet Tutorial 2 - Autofill Data, Cell References, and Standard Deviation
    Generate a table with autofill, and use absolute cell reference to calculate variance and standard deviation.

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

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    A Framework for Teaching Modeling to Biologists
    Abstract for presentation at SIAM ED 2016 on modeling

    Keywords: modelingSIAM

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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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    Learn Biological Sciences and Chemistry through cellular transport and concentration ( online and hands-on)
    Osmosis is a process by which by which solvent move from a region of lower solute concentration to region of higher solute concentration through a semi-permeable membrane. Cells utilize the process...

    Keywords: statisticsdata analysisbiologycell biologyconcentrationskillscellchemistryOsmosisSpectrophotometersolutionsolutesolvent

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    2015-Carl_Lutzer-Using Expected Value to Introduce the Laplace Transform
    We propose an introduction to the Laplace transform in which Riemann sums are used to approximate the expected net change in a function, assuming that it quantifies a process that can terminate at...

    Keywords: Expected ValueRiemann sumnet change

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    2005-Saifullah-Mathematical Modeling With Differential Equations
    This article aims to provide the students some basic modeling skills, which will have applications to a wide variety of problems.

    Keywords: species interactionsword equationinteractive software

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    2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations
    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.

    Keywords: regressionlogisticTorricelli's Lawgrowthperiodic process

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    1-047a-CondensationOptimization-ModelingScenario
    We seek to optimize a condensation process which is modeled by a simulation using the random motion of 200 particles in a 50 by 50 square in which a particle bounces off the two vertical and top...

    Keywords: simulationdataoptimizationenergycondensationbest fitcostsum of scquare errors

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    6-010-SocialCampaign-ModelingScenario
    The epidemic modeling problem is formulated as a system of three nonlinear, first order differential equations in which three compartments (S, I, and R) of the population are linked.

    Keywords: diseasegrowth rateJudgment and Decision MakingSIR modelinfections diseasesocial campaignrecovery ratedelay timejoining processquitting processexponential distribution

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    Genome Hunters: A Quantitative Biology Course-Based Undergraduate Research Experience (CURE)
    Poster outlining the process of designing, implementing, and assessing a new quantitative biology CURE course series. Presented at the 2021 BIOME Institute.

    Keywords: quantitative biologycourse-based undergraduate research experienceCURE2021 BIOME

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    Biodiversity, Big Data, and the Fossil Record
    In this lab, we will be making and testing hypotheses about how the biodiversity of groups of organisms may vary through time.

    Keywords: digital resourcesnatural history museumspaleobiology

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    Module 3: Transcription, Part II: What Happens to the Initial Transcript Made by RNA pol II?
    This module teaches about the three key steps that are involved in converting the pre-mRNA into a mature mRNA: 1) The addition of a 5’ cap, 2) The addition of a 3’ poly(A) tail, 3) The removal of...

    Keywords: geneticsmolecular biologyGenome BrowsergenomicssplicingmRNAcDNA5' Cap3' Poly(A) TailRNA Maturation

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    Amylase Copy Number and Diet
    An adapted module from HHMI Spreadsheet Tutorials using amylase data for students to gain data analysis and excel skills

    Keywords: Scientific ProcessStatistics and MathScientific Methodology

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    A Structured Inquiry Approach to Cotyledon Phenotyping
    In this lab, students will work with messy data to try to answer the question “How do plants inherit cotyledon color?”

    Keywords: geneticsplantsphenotypecotelydon

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    A Structured Inquiry Approach to Cotyledon Phenotyping
    In this lab, students will work with messy data to try to answer the question “How do plants inherit cotyledon color?”

    Keywords: geneticsplantsphenotypecotelydon

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    Calculating Lifetime Cancer Risk Resulting from DNA Replication
    An expanded case study adapted from an HHMI Data Point on Cell Division and Cancer Risk using Figure 1 from Tomasetti, C. and Vogelstein, B. (2015).

    Keywords: cancerScientific ProcessStatistics and MathScientific Methodologybiology of cellscell growth and divisionHigh School

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    RNA-seq Analysis
    In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...

    Keywords: LabRNAsequencingUndergraduateNIBLSEincubatorsRNAseqInstructional SettingAudience LevelActivity LengthMore than 1 hourC4. Bioinformatics toolsC5. Data retrievalReviewed at NIBLSEdifferentially expressed genes

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