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    Dynamic Programming
    In bioinformatics, dynamic programming is mainly used to align nucleotide and amino acid sequences, and to predict RNA and protein folding from primary sequence data.
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    Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper
    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...
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    Defining Life: Exploring Creativity, Scientific Discovery, and Biology Core Concepts in a Disciplinary First-Year Seminar
    This unit, Defining Life, engages students in thinking like scientists, applying creativity to science, and learning biology core concepts as they explore the defining characteristics of life. This...
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    Long-read Sequencing Technology
    This 50 minute lecture on long-read sequencing technology covers the following items: 1) Review of RNA-Seq Short-read Sequencing, 2) Overview and benefits of Long-read Sequencing, 3) Oxford...
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    A Structured Inquiry-Based Module for the Undergraduate Cell Biology Laboratory That Teaches Fundamental Concepts of Cell Differentiation
    Pedagogical research in science education has shown that students effectively learn science by doing science. As a result, there is increased interest in bringing research-like experiences into the...
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    Exploring Microbial Diversity: An Interactive In-Class Assignment for Biology and Microbiology Courses
    This interactive assignment engages students in a hands-on exploration of microbial diversity and the importance of microbes in ecosystems. Designed for General Biology II and Introduction to...
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    The Great Petunia Carnage of 2017: A Clicker Case Study Using Petunias to Describe the Effect of Genetic Modification on the Biochemistry of Flower Color and Phenotype in Plants
    In this single class period case study, students examine the difference between genotype and phenotype by studying the mechanisms by which commercially available petunias have been bred to have...
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    Using Constructed Response Questions on High-Stakes Assessments in Large Classes With Limited Support
    Large lecture courses often rely heavily, and sometimes exclusively, on Multiple Choice (MC) exams to assess student learning. Constructed Response (CR) questions, in which students generate their...
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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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    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...
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    Student-Generated Analogies for Learning about Information Flow
    Using analogies is a standard practice for both teaching and communicating ideas in science. Here we upend the traditional lesson, where the instructor provides a fully constructed analogy and...
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    Keep It Shrimple: An Adaptable Student-Driven Research Project for the Introductory Biology Laboratory
    A challenge in introductory biology laboratory courses is to provide students with authentic, engaging research opportunities that allow them to take ownership of their experiments. We present a...
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    BioTA Podcast Episode #34 Biofilms Podcast Overview
    BioTA Episode #34: Biofilms Authors: Seth Higbee1, Pankaj Mehrotra2, J. Phil Gibson1 Prokaryotes are often taught to us as being free living single-celled organisms that lack membrane bound...
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    SCIENCE/Fiction: Modular Template for Class Design
    We present a modular scaffold for designing an introductory seminar using speculative fiction and science papers to welcome university undergraduates to the biology major. A list of twelve possible...
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...
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    SOAR - San Francisco Bay Research Coordination Network for Student Opportunities in Avian Research to enhance STEM education and assess human impacts on avian biodiversity (RCN-UBE Introduction)
    The San Francisco Bay Research Coordination Network for Student Opportunities in Avian Research (SOAR) brings together faculty, students, and volunteers to implement an experiential learning and...
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    From Nano to Life: Interpreting graphs from Nanopore sequencing of bacterial genomes
    In this lesson, learners meet several scientists working on sustainable ways of recycling discarded electronics. Through an interactive H5P activity, participants watch videos and complete a series...
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    Simulating Cortical Rotation, Axis Induction, and Experimental Embryology in Amphibian Embryos Using Clay Models
    The study of development requires learners to understand spatially complex concepts like embryo anatomy. Embryo anatomy is dynamic over time, and it is often manipulated by researchers in...
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    REMNet - A National Network for Integrating the Study of Microbiomes into Course-based Undergraduate Research Experiences (RCN-UBE Introduction)
    The mission of REMNet’s “Microbiomes for All!” is to serve as a centralized hub for information and resources on the integration of microbiome studies into the undergraduate curriculum. RemNet...
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    2014-Enderling-Chaplain-Mathematical Modeling of Tumor Growth and Treatment
    Herein we describe fundamentals of mathematical modeling of tumor growth and tumor-host interactions, and summarize some of the seminal and most prominent approaches.
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