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    Splicing it Together: Using Primary Data to Explore RNA Splicing and Gene Expression in Large-Lecture Introductory Biology
    At the heart of scientific ways of knowing is the systematic collection and analysis of data, which is then used to propose an explanation of how the world works. In this two-day module, students in a large-lecture course are immersed in a...
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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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    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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    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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    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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    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)...