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  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

  8. Testing hypotheses about the role of wildfire in structuring avian communities

    Testing hypotheses about the role of wildfire in structuring avian communities

    2019-12-19 17:02:45 | Teaching Materials | Contributor(s): Lesley Bulluck | doi:10.25334/R2S1-4S62

    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National Park (GRSM) in November 2016.

  9. Biodiversity research using digitized, internet-based natural history collections

    Biodiversity research using digitized, internet-based natural history collections

    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.

  10. An Introduction to Biodiversity Databases and Specimen Images

    An Introduction to Biodiversity Databases and Specimen Images

    2019-12-04 19:33:58 | Teaching Materials | Contributor(s): Amanda Fisher | doi:10.25334/1NCG-T718

    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the strengths and utility of these data resources.

  11. Neochromosomes: Creating transcriptional units with yeast Golden Gate assembly

    Neochromosomes: Creating transcriptional units with yeast Golden Gate assembly

    2019-10-29 14:18:59 | Teaching Materials | Contributor(s): Eric Cooper | doi:10.25334/3J95-S075

    This resource is a series of protocols using the yeast Golden Gate (yGG) method as developed by Neta Agmon and Leslie Mitchell in Jef Boeke’s lab to assemble a functional yeast gene with protein-coding and regulatory sequences.

  12. 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

  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. 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

  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. 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.

  17. Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets

    Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets

    2019-06-12 18:36:07 | Teaching Materials | Contributor(s): Carlos Christopher Goller, Kaitlyn Casimo | doi:10.25334/Q4RB3R

    The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data from the Allen Institute addresses this...

  18. 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.

  19. 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.

  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.