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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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    Bioinformatics / Neuroinformatics
    This module is a computer-based introduction to bioinformatics resources.  This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...
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    Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts
    Lesson on what it means for biological processes to be Poissonian, published in CourseSource
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    Finding Selection in All the Right Places
    Lab introducing students to evolutionary genetics using bioinformatics and biocuration, published as GSA Learning Resource
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    A Critical Guide to BLAST
    This Critical Guide in the Introduction to Bioinformatics series provides an overview of the BLAST similarity search tool, briefly examining the underlying algorithm and its rise to popularity.
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    A Critical Guide to the PDB
    This Critical Guide in the Introduction to Bioinformatics series provides a brief outline of the Protein Data Bank – the PDB – the world’s primary repository of biological macromolecular structures.
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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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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
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    Teaching biostatistics using the Rule of Four
    A guide to helping intro bio students develop a deeper understanding of key statistical concepts by translating among numeric, graphical, verbal, and symbolic representations.
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    The Stomata Lab. What the past can tell us about our future - using fossil and modern plants to model atmospheric carbon dioxide
    Students will develop a mathematical model of the relationship between atmospheric CO2 and the number of stomata on a leaf (Stomata Index). They will evaluate the model graphically, statistically,...
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    Statistics Overview
    A Numbers Count statistics diagram
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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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    Using the Hardy-Weinberg Equations: Quantifying Natural Selection and Allele Frequencies
    This module contains exercises designed to walk students through a real-world example of the coevolution of fruit color and primate frugivore color vision. Students will apply the Hardy-Weinberg...
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    Spreadsheet Tutorial 3 - Column Graphs, Error Bars, and Standard Error of the Mean
    Generate a column or bar graph with standard error bars.
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    Transpiration
    In this lab, students will examine differences between C3 and C4 plants in their transpiration rates.
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    SUMS4Bio - Video tutorials in math and stats for biology students
    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology
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    Modernizing Statistics Education via Biology Applications
    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education
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    2007-Helfgott-Seier-Some Mathematical and Statistical Aspects of Enzyme Kinetics
    We will analyze some basic ideas behind enzyme kinetics, which allow us to deal with separable and linear differential equations as well as realize the need to use power series.
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    Climate change and Strawberries: A real-life problem-based activity for teaching ANOVA
    This is a real-life lab activity for teaching ANOVA using Problem-Based Learning and formatted for one-day (JMP or R) or two-day (JMP) implementations.
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