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    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes
    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.
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    Discrete Modeling and Structures (Course Materials)
    These are the materials for DCS course offered at Bates College. This is a sampler of structures and ways they are used to model biological and social phenomena.
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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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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    COVID-19 Simulator (ISEE) Module
    This accessible module guides students through exploring the COVID-19 Simulator developed by ISEE. Students dig into the four scenarios provided (including the parameters and the graphs),...
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    The Human Microbiome Biodiversity in Health and Disease
    The students will analyze the human gut and vaginal microbiomes in healthy and diseased states using diversity of bacteria as determined by 16SrRNA sequence.
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    Yeti or not: Do they exist?
    Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.
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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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    Modeling Soil Fluxes with NEON Data
    This activity is an exploratory activity to understand rates of change of soil carbon dioxide in different ecosystems using data provided by the National Ecological Observatory Network (NEON,...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Discrete Math Modeling with Biological Applications (Course Materials)
    These are the materials for Math 214 offered at Rhodes College.
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    Conducting Biodiversity Science in the 21st Century (Poster)
    A poster summarizing how museum resources can be used for conducting biodiversity science in the 21st century including in research, education and in increasing inclusivity and diversity in STEM.
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    Introductory Video and worksheets on Module 1 and 2 on "Sequence Similarity: An inquiry based and under the hood..."
    The video walks the students to complete Module 1 and 2 on Sequence Similarly and Alignment adapted from Tapprich (2019) and Hudson Alpha that teaches these modules within the context of the...
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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
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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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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach
    This laboratory module is a modification of the original published on CourseSource with a focus on plant biology. In the final activity, students conduct a BLAST to compare histone protein...
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