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    2012-Nokkaew-EtAl-Estimation of Algae Growth Model Parameters by a Double Layer Genetic Algorithm
    This paper presents a double layer genetic algorithm (DLGA) to improve performance of the information-constrained parameter estimations.
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    Mike's NW Activity
    This is where the abstract goes.

    Keywords: testingalgorithms

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    2005-Albert_Tarantola-Inverse Problem Theory and Methods for Model Parameter Estimation
    This is a bible of approaches to support parameter estimation approaches in inverse problems. Theory and algorithms are offers with examples.
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    Exploring the Application of Genetic Concepts to the Process of Disease in a Pathophysiology Course for Undergraduate Nursing Students
    Poster on incorporating genetics concepts related to human disease into nursing courses presented at the 2019 BioQUEST & QUBES Summer Workshop
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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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    2008-Brewer-EtAl-Fitting ordinary differential equations to short time course data
    In this paper, we present a survey of existing algorithms and describe the main approaches. We also introduce and evaluate a new efficient technique for estimating ODEs linear in parameters...
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    Needleman - Wunsch Algorithm Exercise
    This exercise is used in a sophomore-junior level bioinformatics course. The algorithm is introduced to the students who then complete the exercise.
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    Populus: Simulations of Population Biology
    Link to Populus Software
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    Using Online Materials/Videos to Enrich Linear Algebra for Scientists
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    BIO 181G: The information age
    Course materials for BIO181G: The information age
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    Amino Acid Frequency
    This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.
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    Cancer Discovery Activities
    These two hands-on activities are based on a Howard Hughes Medical Institute 2013 Holiday Lectures on Science video (http://www.hhmi.org/biointeractive/cancer-genetic-disease-video-highlights)...
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    Case Study: Genetic Variation and Speciation in the Black Tailed Rattlesnake complex (Crotalus molossus)
    It is important for biology students to understand how genetic variation is related to the formation of species in nature. This module is intended for students to obtain first hand experience with...
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    Colon Cancer: A Case of Genetic Bad Luck
    Case study developed for an introductory genetics class published in the National Center for Case Study Teaching in Science
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    Exploring Population Change without Selection: Avida-Ed Lab Book Exercise 4
    An introductory activity exploring how a population changes without natural selection using the Avida-ED simulation.
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    Exploring the Introduction of Genetic Variation by Random Mutation: Avida-Ed Lab Book Exercise 1
    An introductory activity introducing the role of random mutation in generating genetic variation using the Avida-ED simulation.
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    Processes that Regulate Patterns of Species and Genetic Diversity - Intro Environmental Science
    This activity was adapted for use in an intro non-majors Environmental Science course, with an emphasis on collaborative data collection.
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    Phylogenetic analysis using collections material: interpreting trait evolution by comparison of morphological and molecular genetic hypotheses
    Exercise spans two weeks, includes homework, and involves some groups of animals as well as plants. Emphasizes re-interpretation of morphological trait evolution following molecular genetic...
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    Sequence Similarity: Introducing Biological Databases to Community College Biology Students
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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    Developing a phylogram from computational resources.
    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
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