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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    Keywords: LabbioinformaticsNCBImappingUndergraduateworkflowNIBLSEGalaxyRNAseqgene expressionAdvancedExtended ProjectArabidopsisC1. Role of bioinformaticsC2. Computational conceptsC3. Statistical conceptsC5. Data retrievalIncubated at NIBLSEdifferentially expressed genes

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    Making toast: Using analogies to explore concepts in bioinformatics
    Module using analogies to introduce students to genomics

    Keywords: bioinformaticsgenomicsworkflowNIBLSECourseSourceanalogiesbioinformatics workflows

    1164

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    262

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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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    Needleman - Wunsch Algorithm Exercise
    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.

    Keywords: bioinformaticsUndergraduateNIBLSEalgorithmsincubatorsAudience LevelAdvancedActivity Length1 HourNeedleman-WunschC2. Computational conceptsIncubated at NIBLSE

    1454

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    199

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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

    2177

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    215

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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

    1004

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    Sequence Similarity: Introducing Biological Databases to Community College Biology Students
    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

    1103

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    460

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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

    4523

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    8

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    Sequence Similarity: A Quick Introduction to Bioconductor
    Following the Sequence Similarity exercises by Kleinschmit, et al., this tutorial will guide students in using the Bioconductor suite of R packages to likewise compute sequence similarity.

    Keywords: bioinformaticssequencingNIBLSEmultiple sequence alignmentsequence similarityBLOSUM scoring matrixBioconductor

    953

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    957

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    Yeti or not: Do they exist?
    Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.

    Keywords: case studybioinformaticsNIBLSEBLAST12S sequencingYeti

    1580

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    1538

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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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    550

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    2

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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

    1087

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    283

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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

    1117

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    1118

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    A Critical Guide to the PDB
    This Critical Guide in the Introduction to Bioinformatics series provides a brief outline of the Protein Data Bank – the PDB – the world’s primary repository of biological macromolecular structures.

    Keywords: NIBLSEGOBLETInstructorResources

    1111

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    291

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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.

    Keywords: Markov modelbioinformaticsgenomicsNIBLSEtranscriptionCourseSourceexonintronsplicing

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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

    2553

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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

    1838

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    486

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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

    2062

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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

    2019

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    5025

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    BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis
    When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about...

    Keywords: statisticssample sizeBiological variation

    1713

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    565

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