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    Revealing Hidden Figures in Natural History Collections Working Group 2023 Update!
    Our 2023 BIOME Lightning Presentation sharing updates from the Hidden Figures Working Group including the first two published modules!
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    Slides for Revealing Hidden Figures within Natural History Collections Through Data Sleuthing
    Slides in powerpoint form for the Revealing Hidden Figures within Natural History Collections Through Data Sleuthing workshop

    Keywords: lecture slides

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    An Introduction to Revealing Hidden Figures through Data Sleuthing
    In this introduction to hidden figures in natural history collections (NHCs), students will read an article that gives a unique historical perspective of museums and will then participate in a...
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    Uncovering Hidden Figures of Natural History Collections Using Digital Data Sleuthing & Storytelling
    In this presentation we will introduce a series of modules meant to train the next generation of scientists to be data sleuths and storytellers, engaging learners in authentic research experiences...
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    Revealing Hidden Figures in Natural History Collections Working Group BIOME 2022 Recap
    A quick overview from the revealing hidden figures working group as part of BIOME 2022.

    Keywords: BIOME 2022

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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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    The Importance of an ORCID
    This lesson introduces students and instructors to the use of ORCIDs (Open Researcher and Contributor ID), and walks students through the process of registering for an ORCID. This module also helps...
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    Introduction to Bionomia
    This module introduces students and instructors to Bionomia, a database that highlights the collectors and identifiers of natural history specimens. It aims to foster appreciation for these...
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    Additional Figures of the Day - Parasitology
    These additional figures were used in a Parasitology course (juniors and seniors) at Radford University.
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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.
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    A Framework for Teaching Modeling to Biologists
    Abstract for presentation at SIAM ED 2016 on modeling

    Keywords: modelingSIAM

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    Figure of the Day: Identifying Ambiguity and Biases in Data Figures
    The adaptation focuses on presenting figures with all the information in their axes. However, such figures present a medium level of quality to encourage students to discuss conceptually in groups...
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    Using Open-Source Bioinformatics and Visualization Tools to Explore the Structure and Function of SARS-CoV-2 Spike Protein
    The relationship between protein structure and function is a foundational concept in undergraduate biochemistry. We find this theme is best presented with assignments that encourage exploration and...
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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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    Figure of the Week: Applied Statistics for Wildlife Research
    Students use their number sense to make observations and explain or guess at patterns shown, discussing at the start of a weekly computer lab. This slide deck focuses on figures related to concepts...
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    The Hidden Kingdom: Island Biogeography with Fungi
    In this activity, students will explore a dataset of fungi dispersal capabilities and colonizing success to test the predictions of island biogeography theory.
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    Figure of the Day: Disease version
    Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown. Forked version with all infectious disease graphs.
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    Some Figures of the Day for Microbiology
    Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown. These are some specifically for microbiology.
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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...
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    bioBUDS: How to Read a Paper
    Undergraduates are often expected to read scientific papers for class and submit assignments based on their understanding of the contents of these papers. Most courses, in our experience as...
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