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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. A Curious Display

    A Curious Display

    2019-10-28 16:56:17 | Teaching Materials | Contributor(s): Margaret Waterman, Brandon Call, Sandi Connelly, Kristin Jenkins, Sam Catherine Johnston, Vedham Karpakakunjaram, Viet Le, Hayley Orndorf, Melissa Skyer, Barbara Spiecker | doi:10.25334/979W-CY69

    Case study on genetically modified organisms

  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. 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.

  12. 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.

  13. REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    2019-08-28 17:54:52 | Teaching Materials | Contributor(s): Jessica Joyner | doi:10.25334/M13H-XT81

    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

  14. 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

  15. Examining human impacts on tusk evolution in elephants using authentic research data using Serenity

    Examining human impacts on tusk evolution in elephants using authentic research data using Serenity

    2019-07-13 18:23:55 | Teaching Materials | Contributor(s): Kaitlin Bonner | doi:10.25334/D87T-FS18

    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant evolution using the R-Shiny App, Serenity.

  16. Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods

    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods

    2019-07-12 16:50:31 | Teaching Materials | Contributor(s): Heather Susanne Zimbler-DeLorenzo | doi:10.25334/XYXD-PC51

    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of figures, while optional coding extensions teach R skills.

  17. Mars Colony

    Mars Colony

    2019-06-11 18:02:00 | Teaching Materials | Contributor(s): James Burton Deemy | doi:10.25334/Q4W462

    In this exercise students work in groups to design an agroecosystem to feed a Mars Colony while accounting for space and energy transfer limitations.

  18. Island Frogs

    Island Frogs

    2019-06-11 17:09:07 | Teaching Materials | Contributor(s): James Burton Deemy | doi:10.25334/Q40T8N

    This is an exercise in island biogeography that allows students to reconstruct splits in the evolutionary history of several hypothetical frog species.

  19. Adaptation of Investigating human impacts on stream ecology: locally and nationally

    Adaptation of Investigating human impacts on stream ecology: locally and nationally

    2019-06-11 01:43:26 | Teaching Materials | Contributor(s): Catherine Sughrue Etter | doi:10.25334/Q44J2V

    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?

  20. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    2019-06-07 20:09:22 | Teaching Materials | Contributor(s): Rachael St. Jacques, Max Maza, Sabrina Robertson, Guoqing Lu, Andrew Lonsdale, Ray A Enke | doi:10.25334/Q4D172

    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.