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    Wenxiang 3.0
    Wenxiang diagrams illustrate protein helices as spirals on a plane and thus have the advantage over helical wheels of being planar graphs. Wenxiang 3.0 extends the original version by adding...
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    Wenxiang 3.0
    Wenxiang diagrams illustrate protein helices as spirals on a plane and thus have the advantage over helical wheels of being planar graphs. Wenxiang 3.0 extends the original version by adding...
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    Exploring the evolution of caffeine biosynthesis enzymes
    Caffeine is a very common stimulant consume worldwide as tea, coffee, mate, cocoa, and chocolate. Ever wondered why plants make caffeine? Do all caffeine producing plants have the same enzymes for...
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    Genome Solver: Complete Set of Lessons
    The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating...
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    VISABLI - an RCN-UBE for Visualizations, Interactive Simulations, and Animations for Biology Learning & Instruction (RCN-UBE Introduction)
    Our network improves instructional multimedia design for biology education by fostering communication and collaboration among members of three communities: undergraduate biology instructors,...
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    Investigating Cell Signaling with Gene Expression Datasets
    Modern molecular biology is a data- and computationally-intensive field with few instructional resources for introducing undergraduate students to the requisite skills and techniques for analyzing...
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    Gender and Classroom Participation: A Case for Quantitative Analysis
    Teaching statistics to students using authentic research is one way to highlight the transferability and value of the material taught in the class. Below we describe an activity in Statistics for...
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    Microbiome Analysis with Oxford Nanopore 16S amplicon sequencing data
    The resource is a brief description of an analysis pipeline for microbiome analysis of Oxford Nanopore 16S amplicon sequence data. We tested the Kraken 2 and Krona pipeline from nanogalaxy with...
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    Survivorship in the Natural World
    Data driven curriculum module from Dryad Digital Repository
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    Chapter 10: Two-way analysis of variance
    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
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    LEAGSEA
    How to perform Leading Edge Analysis in Gene Set Enrichment Analysis by Broad Institute
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    Exploring the City of Biofilms: An Engaging Analogy-Based Activity for Students to Learn Biofilms
    Multicellular biofilms constructed by microbes are key aspects of microbiology with significant implications in various fields, including medicine, environmental science, and biotechnology. While...
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    2003-Bohren-Dimensional analysis-falling bodies--fine art of not solving differential equations
    Dimensional analysis is a simple, physically transparent and intuitive method for obtaining approximate solutions to physics problems, especially in mechanics.
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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    Chi-Square analysis of two point test cross data
    This flash tutorial simulates analysis of a 2 point test cross and will walk you through the analysis of two hypothetical traits.
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    A CURE for Salmonella: A Laboratory Course in Pathogen Microbiology and Genomics
    Rapid advances in genomics and bioinformatics, the vast amount of data generated by next-generation sequencing, and the penetration of the ‘-omics’ into many areas of biology have created a need...
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    2018-Weber_Theers_Surmann_Ligges_Weihs-Sensitivity Analysis_of_Ordinary_Differential_Equation_Models
    This report will focus on the sensitivity analysis of ordinary differential equation (ODE) models since they can be used to model so-called Low Frequency Oscillations (LFOs).
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