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    Hidden Markov Model
    Hidden Markov models are a set of mathematical tools that can be used to draw inferences about genomic and evolutionary processes.
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    Deme 2.0
    This workbook simulates the population genetics of a single gene with two alleles. It can simultaneously model up to three local populations, which may differ in their selection coefficients.
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    Videos on Java for courses at University of Tennessee
    Eight videos developed by Hong Qin about using Java at the University of Tennessee Chattanooga
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    Java for-loop, investment problem, with debug flag usage demo
    BigJava Chapter 6, UTC CPSC1100 Fall 2017. Debug flag usage is shown.
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    ProteinPhysiochemistry
    How to determine physiochemical features of proteins using ExPasy Protpram, SOSUI server, and PSortB programs.
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    LEAGSEA
    How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute
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    Using Phyre2
    How to use Phrye2 and 3DLigandSite to computationally predict protein and active site structure and binding partners (substrates/cofactors/coenzymes).
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    Simple Heat Maps with Morpheus
    Learn how to load an Excel file of raw data into Morpheus and change between relative and global scales.
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    Learn genomics and bioinformatics through scientific thinking, creation and analysis (virtual and hands-on)
    Nucleic acid are biological molecules composed of nitrogen-containing bases, phosphate groups, and sugar molecules. The complimentary chemical bonding results in formation of double stranded DNA....
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    2015-The European Bioinformatics Institute-BioModels Database
    BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references.
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    Phage Comparative Genomics Lab Manual
    A lab manual containing detailed instructions for several bioinformatics tools (dot plots, Phamerator maps, phylogenetic trees, and gene content similarity), all of which enable students to perform...
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    Genomics Education Alliance: Towards Genomics CURE templates
    Here we present major findings of a national survey of faculty teaching genomics CUREs conducted by the GEA, and our work on presenting relevant resources on the QUBES web portal.
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    Teaching introductory bioinformatics with Jupyter notebook-based active learning
    Presentation on teaching introductory bioinformatics with Jupyter notebook-based active learning at the 2019 Great Lakes Bioinformatics Conference
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    Conference-based Undergraduate Experiences: Lowering the Barrier for Learning about Computational Biology
    Presentation on how attending conferences can enhance computational biology training for undergraduates at the 2019 Great Lakes Bioinformatics Conference
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    Exploration of the Human Genome by Investigation of Personalized SNPs
    To increase students' interest in their own genomes, this computer-based laboratory lesson is designed to be coupled with the opportunity for the students to be genotyped by the consumer sequencing...
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    Wolf Sheep Predation Simulation Exercise
    This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.
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    Sequence Similarity Resource Adaptation: Exploring Ebola Virus
    This adaptation of the sequence similarity resource provides biology students with a basic set of bioinformatics concepts and tools. These concepts and tools are used to explore relationships...
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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...
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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.
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    Serial Dilutions
    In this Excel workbook, users will enter the original cell concentration and the desired dilution factor (10, 100, and 1000). The program will then calculate the new cell concentration.
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