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    Bioinformatics: An Interactive Introduction to NCBI
    Modules showing how the NCBI database classifies and organizes information on DNA sequences, evolutionary relationships, and scientific publications. And a module working to identify a nucleotide...

    Keywords: NCBINIBLSEDNABLASTnucleotide sequencing

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    Computational Biology using R
    This is an introductory level course on computational biology.

    Keywords: simulationmoduleRcourseprojectsolutions

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    Introduction to Mathematical Modeling in Biotechnology, Cell Biology, and Physiology
    The course is a mathematical and computational exploration of five diverse areas of biology: human locomotion, gene sequence analysis, signal transduction pathways involved in cancer,...

    Keywords: mathematical modelingcoursehuman locomotionneuroanatomyneurophysiologysignal transductiongene sequence analysis

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    Citations
    Published Avida-Ed article

    Keywords: EvolutioncurriculumSelectionDigital Organisms

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    Introduction to Genome Browser: What is a Gene?
    In this module, we will use a web-based visualization tool called a Genome Browser to explore the structure of a eukaryotic gene, and obtain a basic understanding of how this information is...
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    Quantitative Modules to Accompany General Biology Courses
    A collection of modules that were developed to accompany general biology courses and allow instructors to add quantitative examples in many of the topics in a standard GB sequence.

    Keywords: moduleintroductory biologymathmodulesprojectResources @ QUBES - Teaching & Reference

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    EvolSeq
    An Excel worksheet that simulates the molecular evolution of DNA sequences.

    Keywords: EvolutionExcelmolecular evolutionDNAResources @ ESTEEM

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    Using DNA Subway to Analyze Sequence Relationships
    This is a bioinformatics exercise using the DNA Subway Blue Line, a user-friendly pipeline of bioinformatics tools, to analyze a collection of mosquito DNA bar-code sequences.

    Keywords: phylogeneticsNIBLSEDNA BarcodingDNA sequenceBLASTmultiple sequence alignmentC1. Role of bioinformaticsC2. Computational conceptsC4. Bioinformatics toolsC5. Data retrievalC8. Data typesIncubated at NIBLSE

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    Intro to DNA Barcoding
    This is a classroom tested introductory lesson & activity to introduce DNA Barcoding and DNA Subway Blue Line. It is for novices and will fit into a 30-45 min lecture or lab class period.

    Keywords: phylogeneticsNIBLSEDNA BarcodingDNA sequenceBLASTmultiple sequence alignment

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    Intro to DNA Subway Blue Line
    This is a classroom tested introductory lesson & activity to introduce DNA Barcoding and DNA Subway Blue Line. It is for novices and will fit into a 1 hr 50 min lecture or lab class period.

    Keywords: phylogeneticsNIBLSEDNA BarcodingDNA sequenceBLASTmultiple sequence alignment

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    Phylogenetic analysis using collections material: interpreting trait evolution by comparison of morphological and molecular genetic hypotheses
    Exercise spans two weeks, includes homework, and involves some groups of animals as well as plants. Emphasizes re-interpretation of morphological trait evolution following molecular genetic...

    Keywords: Evolutionmorphologyphylogenylaboratoryplantsbiological collectionsmolecular analysis

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    Modifying HHMI Anole Resources: Using Image J to Quantify Ecomorphs and Tree-thinking to Explore Evolutionary Hypotheses
    I recombined the HHMI resources to have the students perform the image analysis from Virtual Lab 1 in Image J and explore the evolutionary principles in the Lizard Phenology modules

    Keywords: Evolutionorganismal biologytool:imagejSpeciationTree thinkingDNAphylogeny and classification

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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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    Undergraduate Research Experiences in Computational Science at a Community College
    Resource from the 2015 BioQUEST Summer Workshop

    Keywords: computer simulationscomputational modelInterdisciplinary STEMcomputational toolscommunity colleges

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    Open science, open data, open source projects for undergraduate research experiences
    Resource from the 2015 BioQUEST Summer Workshop
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    Cancer Discovery Activities
    These two hands-on activities are based on a Howard Hughes Medical Institute 2013 Holiday Lectures on Science video (http://www.hhmi.org/biointeractive/cancer-genetic-disease-video-highlights)...

    Keywords: geneticsResources @ HHMI - BioInteractiveorganismal biologyneurosciencegenomicscancergenetic basis of diseasebiology of cellsHigh School

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    Lizard Evolution Series Collection
    The species of Anolis lizards of the Caribbean provide a living example of evolution and speciation.

    Keywords: geneticsEvolutionResources @ HHMI - BioInteractivebehaviororganismal biologySpeciationDNAphylogeny and classificationHigh School

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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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    One species, two species, red species, lead species? Phylogenetics and species concepts with Plethodon salamanders
    This lab introduces students to species concepts and basic computer-based tree-building methods using published nuclear and mitochondrial sequence data for Plethodon salamanders.

    Keywords: phylogenetic analysisTree thinkingsalamanderAudience level - Advanced UG

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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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