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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate students. This gap is especially true at primarily...

    Courses: BioinformaticsBioinformatics Introductory BiologyIntroductory Biology

    statisticsbioinformaticsRNAseqgene expressioncomputer programming
    Lesson
    5066

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    916

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    Tackling "Big Data" with Biology Undergrads: A Simple RNA-seq Data Analysis Tutorial Using Galaxy
    Analyzing high-throughput DNA sequence data is a fundamental skill in modern biology. However, real and perceived barriers such as massive file sizes, substantial computational requirements, and lack of instructor background knowledge can...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics

    bioinformaticsDNA sequenceRNAseqgene expression
    Lesson
    6635

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    1664

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    Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson
    There is a growing need for integration of “Big Data” into undergraduate biology curricula. Transcriptomics is one venue to examine biology from an informatics perspective. RNA sequencing has largely replaced the use of microarrays for whole...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics Cell BiologyCell Biology GeneticsGenetics Introductory BiologyIntroductory Biology

    bioinformaticscancertranscriptomicshigh-throughputData wranglingSingle cell RNA sequencingq
    Lesson
    2726

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    438

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    An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching
    Advances in Next Generation Sequencing (NGS) technology have led to development of many research methods for analyzing genomic data. Students studying biology at the undergraduate level must hone their skills at genomic analysis to participate in...

    Courses: BioinformaticsBioinformatics GeneticsGenetics Science Process SkillsScience Process Skills

    Speciationgenome evolutiongenetic variation
    Lesson
    3739

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    681

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    A Hands-on Introduction to Hidden Markov Models
    In this Lesson, we describe a classroom activity that demonstrates how a Hidden Markov Model (HMM) is applied to predict a eukaryotic gene, focusing on predicting one exon-intron boundary. This HMM lesson is part of the BIOL/CS 370...

    Courses: BioinformaticsBioinformatics GeneticsGenetics Science Process SkillsScience Process Skills

    transcriptionexonintronsplicing
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    7703

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    1499

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    An undergraduate bioinformatics curriculum that teaches eukaryotic gene structure
    Gene structure, transcription, translation, and alternative splicing are challenging concepts for many undergraduates studying biology. These topics are typically covered in a traditional lecture environment, but students often fail to master and...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology BioinformaticsBioinformatics GeneticsGenetics

    bioinformaticsGenome BrowsergenomicsRNAseqsplicingComputer ModelGene Structure
    Lesson
    1616

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    346

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    Investigating Gene Expression and Cell Specialization in Axolotl Embryos
    The process of cell specialization is critical to the formation and function of tissues in animals and plants. Although gene expression, including the regulation of transcription, is taught in most introductory cell biology courses, the...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology Cell BiologyCell Biology Developmental BiologyDevelopmental Biology Science Process SkillsScience Process Skills

    developmenttranscriptiongene expressionmodel organismembryo
    Lesson
    8024

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    406

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    Investigating Cell Signaling with Gene Expression Datasets
    Modern molecular biology is a data- and computationally-intensive field with few instructional resources for introducing undergraduate students to the requisite skills and techniques for analyzing large data sets. This Lesson helps students: (i)...

    Courses: Biochemistry and Molecular BiologyBiochemistry and Molecular Biology Cell BiologyCell Biology

    genomicstranscriptionsignaling