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    2007-Bellomo-De_Angelis-Delitala-Lecture Notes on Mathematical Modelling in Applied Sciences
    The Lectures Notes correspond to the first part of the course devoted to modelling issues to show how the application of models to describe real world phenomena generates mathematical problems to...
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    2017-D_Goulet-Modeling, Simulating, and Parameter Fitting of Biochemical Kinetic Experiments
    In many chemical and biological applications, systems of differential equations containing unknown parameters are used to explain empirical observations and experimental data. The differential...
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    1-030-RandomPerturbation-TechniqueNarrative
    After a brief historical view of this problem, we will demonstrate the derivation of first order linear differential equations with random perturbations.
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    A Quick Guide to Teaching R Programming to Computational Biology Students
    An introduction from an experienced educator in teaching R to computational biology graduate students.
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    2006-Wilensky-Reisman-Thinking Like a Wolf a Sheep or a Firefly
    We describe a computation-based approach that enables students to investigate the connections between different biological levels using agent-based, embodied modeling tools.
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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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    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...
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    Expanding Undergraduate Participation in Computational Biology: Resources and Lessons Learned from a Hands-on Workshop
    Presentation on computational biology in undergraduate education at the 2019 Great Lakes Bioinformatics Conference
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    The ml4bio Workshop: Machine Learning Literacy for Biologists
    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference
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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...
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    2012-Brian_Ingalls-Mathematical Modelling in Systems Biology An Introduction
    This is a comprehensive text with much biology background to motivate the mathematical modeling, exercises and answers, and many rich examples.
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    Discovering Cellular Respiration with Computational Modeling and Simulations
    Cellular respiration, a common topic among introductory and cellular biology curricula, is a complex biological process that exemplifies core biological concepts, including systems, pathways and...
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    2009-Eriksson- Estep-Hansho-Johnson-Computational Differential Equations
    Differential Equations and Advanced Computational Differential Equations, presents a unified approach to computational mathematical modeling using differential equations based on a principle of a...

    Keywords: Galerkin

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    Video Tutorials for Computational Genomics
    YouTube videos by Laura Harris on a variety of genomics and bioinformatics topics.
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    Overview of the Genomics Education Partnership
    Poster exhibited at the National Association of Biology Teachers (NABT) 2022 conference providing an overview of the Genomics Education Partnership including its benefits to faculty, students, and...
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    Diseasebots
    This module explores the effects of host density on contact rates and transmission of pathogens or mutualist symbionts using a hands-on simulation, a computer agent-based model in NetLogo, and an...
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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    Students require a deep understanding of the central dogma before they can understand complex topics such as evolution and biochemical disorders. However, getting undergraduate biology students to...
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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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    Changing Faculty Practice: Promoting the Scholarship of Teaching with Faculty Mentoring Networks
    Poster presented at Transforming STEM Higher Education: Confirming the Authority of Evidence, AAC&U 2018
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    A first lesson in mathematical modeling for biologists: Rocs
    Using a fictitious population of Rocs, a mythical species of giant raptor, students accomplish two broad objectives: 1) they undertake the process of building a first mathematical model of a...
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