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  1. Basic Statistics

    Basic Statistics

    2020-01-27 21:11:02 | Teaching Materials | Contributor(s): Emily Weigel, Alycia Lackey | doi:10.25334/N0T7-DD80

    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.

  2. Exploring the evolution of caffeine biosynthesis enzymes

    Exploring the evolution of caffeine biosynthesis enzymes

    2020-01-23 01:18:35 | Teaching Materials | Contributor(s): Shuchismita Dutta | doi:10.25334/EE3E-S080

    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 caffeine biosynthesis?

  3. Introduction to UNIX command line

    Introduction to UNIX command line

    2020-01-22 13:53:21 | Teaching Materials | Contributor(s): Serghei Mangul, Kristen Butela, Michael Sierk, Lihua Stefan | doi:10.25334/H7TG-G648

    A laboratory module for an upper-level undergraduate biology course in which students will be able to carry out simple tasks using the Unix command-line environment.

  4. Graphing grouped continuous data in R with swirl

    Graphing grouped continuous data in R with swirl

    2020-01-13 20:13:06 | Teaching Materials | Contributor(s): Marney Pratt | doi:10.25334/FM8B-PM89

    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.

  5. Conducting Analysis of Variance (ANOVA) in R with swirl

    Conducting Analysis of Variance (ANOVA) in R with swirl

    2020-01-13 20:00:00 | Teaching Materials | Contributor(s): Kevin Geyer | doi:10.25334/92KV-EH29

    This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R, including assumption testing and post-hoc analysis.

  6. Interpreting one-factor ANOVA in R with swirl

    Interpreting one-factor ANOVA in R with swirl

    2020-01-13 19:37:01 | Teaching Materials | Contributor(s): Jeremy Claisse | doi:10.25334/SA4D-PF95

    Interpreting One-Factor Analysis of Variance (ANOVA)

  7. Checking Normality in R with swirl

    Checking Normality in R with swirl

    2020-01-13 19:30:34 | Teaching Materials | Contributor(s): Bill Morgan | doi:10.25334/PQ79-N018

    How to use the "three-prong" approach to check for normality

  8. One-way ANOVA in R with swirl

    One-way ANOVA in R with swirl

    2020-01-13 19:18:39 | Teaching Materials | Contributor(s): Bengt Allen | doi:10.25334/2MRV-SA62

    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.

  9. Following the Data - PowerPoint Addition to Module

    Following the Data - PowerPoint Addition to Module

    2020-01-10 21:29:24 | Teaching Materials | Contributor(s): Darlene Panvini | doi:10.25334/731M-8788

    This PowerPoint presentation guides instructors and students through the key background information for the module.

  10. Data is the New Science - Modified and combined with Following the Data Module

    Data is the New Science - Modified and combined with Following the Data Module

    2020-01-10 20:52:41 | Teaching Materials | Contributor(s): Darlene Panvini | doi:10.25334/RN01-VX30

    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 what they have learned to research a question.

  11. BLAST Exercises for Analyzing Cloning Results

    BLAST Exercises for Analyzing Cloning Results

    2020-01-10 01:47:33 | Teaching Materials | Contributor(s): Erin R. Morris | doi:10.25334/YY9D-4W75

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome Solver.

  12. Databases:  A Study of Influenza

    Databases: A Study of Influenza

    2020-01-09 21:35:48 | Teaching Materials | Contributor(s): Selene Nikaido | doi:10.25334/Z8VP-G378

    This lesson introduces the student to the Influenza Research Database. Students will select Influenza genome sequences to see how they are related. Students tests hypotheses about evolutionary ideas involving reassortment in Influenza.

  13. Introduction to Genome Annotation

    Introduction to Genome Annotation

    2020-01-09 21:32:41 | Teaching Materials | Contributor(s): Selene Nikaido | doi:10.25334/2ANZ-SV60

    This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on genome annotation databases.

  14. BLAST-HGT PROJECT

    BLAST-HGT PROJECT

    2020-01-08 04:30:57 | Teaching Materials | Contributor(s): Shawna Reed | doi:10.25334/JX5K-4E39

    Genome Solver modules were combined to make one project for students using tools within NCBI BLAST to explore phylogenetics and horizontal gene transfer from phage to Chlamydia.

  15. Sickle Cell Disease and Natural Selection in Humans

    Sickle Cell Disease and Natural Selection in Humans

    2020-01-07 19:12:30 | Teaching Materials | Contributor(s): HHMI BioInteractive | doi:10.25334/2ZQV-7Y23

    A short film explores the evolutionary connection between an infectious disease, malaria, and a genetic condition, sickle cell anemia. The animation explores the genetic causes and biological effects of sickle cell disease.

  16. Developing Quantitative Skills Using HHMI BioInteractive Resources

    Developing Quantitative Skills Using HHMI BioInteractive Resources

    2020-01-03 13:24:38 | Teaching Materials | Contributor(s): Robin Bulleri, Kristine Grayson, Melissa Csikari | doi:10.25334/GW48-XB61

    A workshop on using HHMI BioInteractive data activities to teach science content and quantitative skills

  17. Stream Discharge Module- Beck Modification

    Stream Discharge Module- Beck Modification

    2020-01-02 03:23:35 | Teaching Materials | Contributor(s): Catherine Beck | doi:10.25334/GV7F-CR21

    Stream discharge is a fundamental measure of water supply in stream systems. Low discharge may cause problems with water supply and fish passage, while high discharge may mean flooding. In this module, students explore real-time stream discharge...

  18. Climate Change Module- Beck Modifications

    Climate Change Module- Beck Modifications

    2020-01-02 03:10:49 | Teaching Materials | Contributor(s): Catherine Beck | doi:10.25334/0HJZ-CW35

    Students explore how climate is changing from the recent record

  19. Island Biogeography

    Island Biogeography

    2020-01-01 21:47:29 | Teaching Materials | Contributor(s): Daniel Lauer, Emily Weigel | doi:10.25334/ABY7-GQ05

    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.

  20. R Subsetting Tutorial

    R Subsetting Tutorial

    2020-01-01 21:18:30 | Teaching Materials | Contributor(s): Mary Kho, Emily Weigel | doi:10.25334/GZCA-S726

    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.