# Support

## Support Options

• ### Knowledge Base

Find information on common questions and issues.

• ### Support Messages

Check on the status of your correspondences with members of the QUBES team.

## Resources: All

Search
1. 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.

2. 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.

3. 2020-01-13 19:37:01 | Teaching Materials | Contributor(s): Jeremy Claisse | doi:10.25334/SA4D-PF95

Interpreting One-Factor Analysis of Variance (ANOVA)

4. 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

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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...

13. 2019-12-18 21:51:34 | Teaching Materials | Contributor(s): Lynn Marie Diener | doi:10.25334/BTAS-Z679

This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis applying what they learned to their interpretation of the data

14. 2019-12-18 15:33:34 | Teaching Materials | Contributor(s): Sarah Beth Cadieux | doi:10.25334/V7K2-0F15

Students analyze current and past temperature and carbon dioxide data in order to interpret how current climate change is related to climate over the past 450,000 years. Objectives: • Are global temperatures rising? • Are CO2 levels rising? • What is

15. 2019-12-17 19:26:39 | Teaching Materials | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/RSKN-MQ83

Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the origins, problems, and current uses of collections.

16. 2019-12-17 00:56:37 | Teaching Materials | Contributor(s): Courtney Campany, David Kang | doi:10.25334/25CW-6988

This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with budding interests of the largely pre-heath student body.

17. 2019-11-19 21:18:39 | Teaching Materials | Contributor(s): Anne Rosenwald, Gaurav Arora, Vinayak Mathur | doi:10.25334/MN0K-XB56

Genome Solver's Community Science Project was developed as a way to use the skills taught in the previous lessons. We're asking members of the community to provide instances of potential phage genes embedded in bacterial genomes.

18. 2019-11-16 22:04:49 | Teaching Materials | Contributor(s): Abby Kula, Kristine Grayson | doi:10.25334/DRTS-CZ24

Presented at NABT 2019, we demonstrate how the Population Dynamics Click & Learn resource can be customized for any organism - using the Lionfish invasion as an example

19. 2019-10-28 16:35:24 | Teaching Materials | Contributor(s): Sandi Connelly | doi:10.25334/CJZQ-3K68

Compiled resources around GMOs and protein production including vocabulary, animations, videos, and games

20. 2019-10-23 15:16:23 | Teaching Materials | Contributor(s): Anne Rosenwald, Gaurav Arora, Vinayak Mathur | doi:10.25334/E4GQ-2S85

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 with an authentic community research project.

### Popular Tags

Click a tag to see only publications with that tag.