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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...
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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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    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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    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...
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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)...