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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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    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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    The Ames Test
    Introduction to the Ames Test, published as GSA Learning Resource

    Keywords: geneticsNIBLSEDNAames testassay

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    Genome Solver: Complete Set of Lessons
    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating...

    Keywords: bioinformaticsNIBLSEBioinformatics EducationBioinformatics and GenomicsC4. Bioinformatics toolsC5. Data retrievalC6. ModelsC8. Data typesC9. ImplicationsRecommended by NIBLSE

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    Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans
    In this lesson, we describe an easily adaptable lab module that can be used in existing undergraduate molecular biology lab courses to conduct authentic scientific research, published in CourseSource

    Keywords: molecular biologybioinformaticsNIBLSEgene regulationmicroRNAsgene expressionCourseSourcemiRNA

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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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    A Critical Guide to the UniProtKB Flat-file Format
    This Critical Guide briefly presents the need for biological databases and for a standard format for storing and organising biological data.

    Keywords: NIBLSEuniprotGOBLETInstructorResources

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    Introductory Video and worksheets on Module 1 and 2 on "Sequence Similarity: An inquiry based and under the hood..."
    The video walks the students to complete Module 1 and 2 on Sequence Similarly and Alignment adapted from Tapprich (2019) and Hudson Alpha that teaches these modules within the context of the...

    Keywords: bioinformaticssequencingFASTANCBINIBLSEalgorithmsBLASTmultiple sequence alignmentsequence similarityBLOSUM scoring matrixCourseSource

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    A Critical Guide to BLAST
    This Critical Guide in the Introduction to Bioinformatics series provides an overview of the BLAST similarity search tool, briefly examining the underlying algorithm and its rise to popularity.

    Keywords: NIBLSEBLASTGOBLETInstructorResources

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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    Keywords: statisticsR programming languagebioinformaticsNIBLSERNAseqgene expressionCourseSourcecomputer programming

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    Developing a phylogram from computational resources.
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    Keywords: phylogeneticsbioinformaticssequencingFASTANCBINIBLSEalgorithmsBLASTmultiple sequence alignmentsequence similarityneighbor-joining distance matrixCourseSourcephylogrampercent identity matrix

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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

    Keywords: phylogeneticsbioinformaticssequencingFASTANCBINIBLSEalgorithmsincubatorsBLASTmultiple sequence alignmentsequence similarityBLOSUM scoring matrixneighbor-joining distance matrixCourseSourcephylogramZika virus

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    Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach
    This laboratory module is a modification of the original published on CourseSource with a focus on plant biology. In the final activity, students conduct a BLAST to compare histone protein...

    Keywords: phylogeneticsbioinformaticssequencingFASTANCBIplant biologyNIBLSEalgorithmsincubatorsPlant and Fungal EvolutionBLASTmultiple sequence alignmentsequence similarityBLOSUM scoring matrixneighbor-joining distance matrixCourseSourcephylogram

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    Sequence Similarity Resource Adaptation: Exploring Ebola Virus
    This adaptation of the sequence similarity resource provides biology students with a basic set of bioinformatics concepts and tools. These concepts and tools are used to explore relationships...

    Keywords: phylogeneticsbioinformaticsEbolasequencingFASTANCBINIBLSEalgorithmsincubatorsBLASTmultiple sequence alignmentsequence similarityBLOSUM scoring matrixneighbor-joining distance matrixCourseSourcephylogram

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    Tutorial Combination and Assessment
    The tutorial adaptation specifically addresses data types (i.e., numeric versus categorical variables) and the types of graphs that are used to summarize the different data types.

    Keywords: Scientific ProcessStatistics and MathScientific Methodology

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    Plants by the Numbers
    Session presentation on quantitative botanical activities at the 2018 QUBES/BioQUEST Summer Workshop

    Keywords: Simulationsplantsfmnquantitative botanicsflipped labshypothesis driven laboratoriesSummer Workshop 2018

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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonpermafrostremote sensingfloodsGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Module 4: What Kind of Data Goes in a Field Notebook?
    The goal of this activity is to introduce students to biological field notebooks and how they are used by scientists during field work. Specifically, students will learn what a botanist collecting...

    Keywords: Herbarium digitizationField notebookTimothy Plowman

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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...

    Keywords: data in the classroombiodiversity informaticsnatural history collection

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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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