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    A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics
    Rapid advances in genomics and bioinformatics, the vast amount of data generated by next-generation sequencing, and the penetration of the ‘-omics’ into many areas of biology have created a need for students with hands-on experience with...
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    1976

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    Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans
    Incorporating authentic research experiences into undergraduate labs, while shown to be particularly effective at engaging and retaining students in STEM majors, can be difficult to accomplish within the constraints of resource availability or...
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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...
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    Mapping a Mutation to its Gene: The "Fly Lab" as a Modern Research Experience
    Although genetics is an invaluable part of the undergraduate biology curriculum, it can be intimidating to students as well as instructors: Students must reduce their reliance on memorization and dive deep into quantitative analysis, and...
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    A CRISPR/Cas Guide RNA Design In Silico Activity
    CRISPR biotechnologies inspired by the Clustered Regularly Interspaced Short Palindromic Repeat RNA-guided nuclease adaptive bacterial immune system have revolutionized biology research and become ubiquitous tools for hypothesis and...
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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...
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    A CURE-based approach to teaching genomics using mitochondrial genomes
    There is an abundance (currently over 1016 DNA bases) of publicly available genetic sequence data and a dearth of trained genomicists to process and interpret it, necessitating more trained bioinformaticians with biological expertise. For...
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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...
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    1636

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    392

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    How to Find a Gene: Retrieving Information From Gene Databases
    A strong understanding of distinct gene components and the ability to retrieve relevant information from gene databases are necessary to answer a diverse set of biological questions. However, often there is a considerable gap between...
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    A Fun Introductory Command Line Lesson: Next Generation Sequencing Quality Analysis with Emoji!
    Radical innovations in DNA sequencing technology over the past decade have created an increased need for computational bioinformatics analyses in the 21st century STEM workforce. Recent evidence however demonstrates that there are significant...

    Courses: BioinformaticsBioinformatics

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    293

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    Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course
    Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed at undergraduate juniors and seniors and graduate...
    Lesson
    1978

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    873

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    Exploration of the Human Genome by Investigation of Personalized SNPs
    Students often shy away from tedious bioinformatics approaches to exploring their genomes. However, in our expanding digital world these skills are some of the most relevant and valuable. To increase students' interest in their own genomes, I...
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills to analyze biological data while understanding the...

    Courses: BioinformaticsBioinformatics