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    Learn genomics and bioinformatics through scientific thinking, creation and analysis (virtual and hands-on)
    Nucleic acid are biological molecules composed of nitrogen-containing bases, phosphate groups, and sugar molecules. The complimentary chemical bonding results in formation of double stranded DNA....

    Keywords: data analysisbioinformaticsnucleotidesproteinsRNAgenomicsScientific communicationscientific writingDNAmodelling scientific thinkinggenescientific thinkingcreation

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    2015-The European Bioinformatics Institute-BioModels Database
    BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references.

    Keywords: computational biologyBioModels Databasebio databaselife science experiments

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    Phage Comparative Genomics Lab Manual
    A lab manual containing detailed instructions for several bioinformatics tools (dot plots, Phamerator maps, phylogenetic trees, and gene content similarity), all of which enable students to perform...

    Keywords: phageCUREcourse-based research experiences (CUREs)Comparative genomicsSEA-PHAGES

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    Wolf Sheep Predation Simulation Exercise
    This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.

    Keywords: simulationecologyIntroductoryNetLogoagent-based modelingagent-based modelLabbioinformaticspredator-preyUndergraduateNIBLSEInstructional SettingAudience LevelActivity LengthLess than 1 hoursimulation cycleC1. Role of bioinformaticsC6. ModelsReviewed at NIBLSEagent based modleing

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    Serial Dilutions
    In this Excel workbook, users will enter the original cell concentration and the desired dilution factor (10, 100, and 1000). The program will then calculate the new cell concentration.

    Keywords: concentrationScientific Notationorders of magnitudeserial dilutions

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    Evolution Through Natural Selection
    This Excel workbook simulates the population genetics of a single gene with two alleles, allowing the user to set the initial allele frequencies and enter parameters for a variety of different...

    Keywords: population geneticsNatural Selection

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    ESS: Evolutionary Stable Strategies Game Theory Module
    This Excel workbook illustrates a number of ESS examples. Each example allows the user to manipulate the initial population for each strategy and the fitness payoffs and costs for each strategy.

    Keywords: population geneticsfitnessgame theorySequence alignmentevolutionary stable strategies

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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...

    Keywords: exponential growthlogistic growthcurve fittinglinear growthgrowth models

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    Buffer Preparation
    This Excel workbook calculates the necessary components to create a buffer solution using the Henderson-Hasselbalch equation.

    Keywords: buffer solutionacidbase

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    MiniWorkshop Follow-Up October 2, 2020
    A follow up to our mini workshop of August 14, 2020. Further information about the python pipeline for HGT and the new cytoscape lesson.

    Keywords: Bioinformatics Education

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    Mini-Workshop August 14, 2020
    We reviewed the materials available on Genome Solver (other lessons here) and described our new python pipeline for examining horizontal gene transfer and a new synteny lesson in detail.

    Keywords: Bioinformatics Education

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    Lesson VII - Synteny
    The lesson teaches about synteny or the order of genes along a chromosome, which is useful for looking at orthologous genes between two species or strains.

    Keywords: Bioinformatics Education

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    Module 1: Introduction to the Genome Browser: What is a Gene?
    This lesson introduces the University of California Santa Cruz genome browser to students, walking them through some of the key features so that it can be used for analysis of gene structure.

    Keywords: geneticsbioinformaticsGenome BrowserSimilarity searchesExonsIntronsEvidence TrackStart CodonStop Codon

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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    Keywords: data sciencebioinformaticsnext generation sequencingquality controlFASTQgenomicsprogrammingNIBLSElinuxmicrobiomeIllumina sequencingcommand lineFASTQEFASTPNGS analysisterminalMacemojiPhred scoreTrimmingshort read

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    Teaching introductory bioinformatics with Jupyter notebook-based active learning
    Presentation on teaching introductory bioinformatics with Jupyter notebook-based active learning at the 2019 Great Lakes Bioinformatics Conference

    Keywords: biostatisticsstatistical analysisavian malariaSummer Workshop 2018

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    Sequence Similarity in Developmental Biology - A Bioinformatics Exercise Using Myostatin
    This exercise leads upper level biology majors in an inquiry-based excursion to determine how similar the signaling molecule, myostatin, is between humans and mice, using a basic set of...
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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    Introductory bioinformatics exercises often walk students through the use of computational tools, but often provide little understanding of what a computational tool does "under the...

    Keywords: BLASTmultiple sequence alignmentsequence similarityphylogramZika virusAlgorithmScoring Matrix

    2019

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    Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Recent Activities
    Presentation on NIBLSE at the 2019 Great Lakes Bioinformatics Conference

    Keywords: bioinformaticsNIBLSEincubators

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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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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.

    Keywords: bioinformaticsNIBLSEProtein StructureDNAmolecular modelinggenotypephenotypeCourseSourcecomputational modelingcentral dogmaplant leaf structure

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