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  1. Lesson VI - The Community Science Project

    Lesson VI - The Community Science Project

    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.

  2. Teaching Population Dynamics with Data and HHMI BioInteractive

    Teaching Population Dynamics with Data and HHMI BioInteractive

    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

  3. Intro videos and terminology for GMOs, Transcription, Translation

    Intro videos and terminology for GMOs, Transcription, Translation

    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

  4. Complete Set of Lessons

    Complete Set of Lessons

    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.

  5. Lesson III - Annotation

    Lesson III - Annotation

    2019-10-23 14:50:05 | Teaching Materials | Contributor(s): Gaurav Arora | doi:10.25334/9MR2-DX11

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.

  6. Lesson III - Annotation

    Lesson III - Annotation

    2019-10-23 14:49:24 | Teaching Materials | Contributor(s): Gaurav Arora | doi:10.25334/2XEK-ME57

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.

  7. Lesson V - Phylogenetics

    Lesson V - Phylogenetics

    2019-10-22 21:27:41 | Teaching Materials | Contributor(s): Anne Rosenwald, Gaurav Arora, Vinayak Mathur | doi:10.25334/HBAR-5X64

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson V is an introduction to Phylogenetics.

  8. Lesson VII - Synteny

    Lesson VII - Synteny

    2019-10-22 21:21:12 | Teaching Materials | Contributor(s): Gaurav Arora, Anne Rosenwald, Vinayak Mathur | doi:10.25334/HV52-1P80

    The lesson teaches about synteny or the order of genes along a chromosome, which is useful for looking at orthologous genes between two species or strains.

  9. Lesson IV - Comparative Genomics

    Lesson IV - Comparative Genomics

    2019-10-10 18:24:22 | Teaching Materials | Contributor(s): Anne Rosenwald, Gaurav Arora, Vinayak Mathur | doi:10.25334/X06T-ZJ47

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson IV, Comparative Genomics, discusses some of the tools available for looking at genes across different genomes.

  10. Lesson III - Annotation

    Lesson III - Annotation

    2019-10-10 18:15:44 | Teaching Materials | Contributor(s): Anne Rosenwald, Gaurav Arora, Vinayak Mathur | doi:10.25334/P4Q3-DW67

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Lesson III introduces Annotation, or assigning meaning to all the A's, C's, T's, and G's.

  11. Optimal Foraging in Swirl

    Optimal Foraging in Swirl

    2019-10-08 18:15:05 | Teaching Materials | Contributor(s): Mary Elizabeth McWhirt, Emily Weigel | doi:10.25334/2YEK-ZY02

    This lesson centers around the marginal value theorem (MVT, Charnov 1976), which describes how animals should forage in patches. It serves as a pre-lab to teach MVT basics, vectors, ANOVA, and basic plotting.

  12. Altruism Simulation Activity

    Altruism Simulation Activity

    2019-10-04 19:34:54 | Teaching Materials | Contributor(s): Nicole Chodkowski | doi:10.25334/84MC-9286

    An altruism activity that uses a NetLogo altruism simulation.

  13. Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data

    Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data

    2019-09-30 14:46:25 | Teaching Materials | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/SJX1-F373

    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.

  14. Electrical and chemical communication in the nervous system

    Electrical and chemical communication in the nervous system

    2019-09-01 03:45:22 | Teaching Materials | Contributor(s): Patrick Cafferty | doi:10.25334/7JK1-E403

    This activity guides students through an online tutorial to examine the electrical and chemical communication of neurons.

  15. REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19

    REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19

    2019-08-28 17:51:38 | Teaching Materials | Contributor(s): Jessica Joyner | doi:10.25334/X2ZY-P855

    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network

  16. REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19

    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19

    2019-08-28 17:45:24 | Teaching Materials | Contributor(s): Jessica Joyner | doi:10.25334/WVSN-CV84

    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network

  17. Ethics in Synthetic Biology

    Ethics in Synthetic Biology

    2019-08-15 17:40:25 | Teaching Materials | Contributor(s): Lisa Scheifele | doi:10.25334/TCG2-GP43

    This collection of four activities provide students with an introduction to thinking about ethical concerns in human genome synthesis, gene editing, metabolic engineering, and synthetic genomes.

  18. Should we synthesize a human genome?

    Should we synthesize a human genome?

    2019-08-15 17:10:05 | Teaching Materials | Contributor(s): Lisa Scheifele | doi:10.25334/NRA0-DN88

    Two articles introducing the Human Genome Project-Write and asking questions about the ethics of the project.

  19. Ethics of Metabolic engineering

    Ethics of Metabolic engineering

    2019-08-15 17:04:41 | Teaching Materials | Contributor(s): Lisa Scheifele | doi:10.25334/5522-YZ50

    This is an ethical reflection for students on an issue in metabolic engineering and the potential for "home-brew" morphine. The case study asks students to reflect on material in the linked article. Also included is the grading rubric.

  20. Ethics in synthetic genomics

    Ethics in synthetic genomics

    2019-08-15 16:54:56 | Teaching Materials | Contributor(s): Lisa Scheifele | doi:10.25334/EHSH-NB12

    This is an ethical reflection for students on an issue in genome engineering and the synthesis of potentially infectious viruses. The case study asks students to reflect on material in the linked article. Also included is the grading rubric.