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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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    Using Dotplots for Comparative Genomic Analysis
    In this activity, students are introduced to dotplots as a tool for analyzing phage genomic similarity.
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    An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching
    Advances in Next Generation Sequencing (NGS) technology have led to development of many research methods for analyzing genomic data. Students studying biology at the undergraduate level must hone...
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    Cell Aggregation and Sphere Packing
    This module introduces the calculation of packing density in the context of understanding cell aggregation and arrangement. It is intended for an introductory biology audience.
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    Introduction to Phylogenetic Trees for Comparative Genomic Analysis
    In this activity, students are introduced to phylogenetic trees and networks as tools for analyzing evolutionary relationships.
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate...
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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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    Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course
    Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed...

    Keywords: microbiome

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    Datasets for Whitlock & Schluter's "The Analysis of Biological Data"
    Link to data sets used in The Analysis of Biological Data . All data are in CSV format.
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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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    Exploration of the Human Genome by Investigation of Personalized SNPs
    Students often shy away from tedious bioinformatics approaches to exploring their genomes. However, in our expanding digital world these skills are some of the most relevant and valuable. To...
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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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    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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    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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