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    Using Raw Sequence Data to Analyze Tumor Suppressor Mutations
    Learning to identify DNA sequence variants from raw sequencing data (electropherograms) is a basic molecular biology skill with applications to basic research and clinical practice. Yet learning to map DNA sequence variants to functional regions...
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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...
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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there are few that offer practical laboratory-based...
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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...
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    Using Bioinformatics and Molecular Visualization to Develop Student Hypotheses in a Malate Dehydrogenase Oriented CURE
    Developing student creativity and ability to develop a testable hypothesis represents a significant challenge in most laboratory courses. This lesson demonstrates how students use facets of molecular evolution and bioinformatics approaches...
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    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses
    Introductory bioinformatics exercises often walk students through the use of computational tools, but often provide little understanding of what a computational tool does "under the hood." A solid understanding of how a bioinformatics...