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    Inquiry-based hypothesis testing using phylogenetic trees in MEGA
    A key learning objective in biology is applying bioinformatics tools to test a real-life question. These inquiry-based modules have students assemble and align data, and construct simple...

    Keywords: phylogeneticsbioinformaticsFASTANCBIBLASTmultiple sequence alignmentsequence similarityCourseSourceZika virusMEGAalcohol metabolism

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    Waking up Anna - Adaptations and Conversion to Mol*
    This case focuses on understanding the molecular basis of Anna's sleeping disorder and its treatment. The adaptations addressed question clarity and reformatting to use Mol*.

    Keywords: sleepmolecular visualization and analysisPDBMolecular Case StudyGABAMolCaseNetMol*MolStarProtein visualizationFlumazenil

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    Hemoglobin bioinformatics
    This is an introduction to bioinformatics using hemoglobin as an example. The worksheets introduce students to resources to explore the DNA, RNA and polypeptide linear structure with a brief...

    Keywords: bioinformaticsHemoglobinBLASTsickle cell diseaseMolecular Case StudyClustal OmegaMolCaseNet

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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

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    An Introduction to the R Programming Environment
    An online module introducing students and biologists to R, published in American Phytopathological Society

    Keywords: epidemiologyRecologyR programming languagebioinformaticsprogrammingplant biologyNIBLSEplant pathology

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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

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

    Keywords: geneticsNIBLSEDNAames testassay

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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

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    NIBLSE Collaborative Community Model for developing, disseminating, and assessing bioinformatics learning resources
    The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) has cultivated a collaborative community model to facilitate the development, dissemination, and assessment of...

    Keywords: fmnNIBLSE

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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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    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

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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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    A Critical Guide to Unix
    This Critical Guide in the Introduction to Bioinformatics series briefly introduces the Unix Operating System, and provides a subset of some of the most helpful and commonly used commands....

    Keywords: NIBLSEUNIXbasic UNIX commandsGOBLETInstructorResources

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    Bioinformatics: Food Detective – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces the idea of computers as tools to help understand aspects of biology.
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    Using Bioinformatics to Understand Genetic Diseases: A Practical Guide
    This Practical Guide outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases.
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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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    Functional and structural analysis of Amylase activity
    This exercise was developed to allow students to apply the scientific method and use their knowledge of enzymes to investigate the relationship between enzyme activity and structure. Students...
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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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