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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. Earth Analytics in Python Course

    Earth Analytics in Python Course

    2019-11-01 14:37:29 | Teaching Materials | Contributor(s): Leah Wasser, Jenny Palomino, Chris Holdgraf | doi:10.25334/SH4R-QH25

    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data’.

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Get Started With GIS in Open Source Python Workshop

    Get Started With GIS in Open Source Python Workshop

    2019-10-15 20:27:32 | Teaching Materials | Contributor(s): Leah Wasser, Jenny Palomino, Joe McGlinchy

    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in Python.

  11. Introduction to Version Control and Git Workshop

    Introduction to Version Control and Git Workshop

    2019-10-15 20:22:16 | Teaching Materials | Contributor(s): Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

  12. Writing Clean Code in R Workshop

    Writing Clean Code in R Workshop

    2019-10-15 20:18:39 | Teaching Materials | Contributor(s): Max Joseph, Leah Wasser

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

  13. Introduction to Earth Data Science Textbook

    Introduction to Earth Data Science Textbook

    2019-10-15 18:05:03 | Teaching Materials | Contributor(s): Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed.

  14. Earth Analytics in R Course

    Earth Analytics in R Course

    2019-10-15 18:00:50 | Teaching Materials | Contributor(s): Leah Wasser

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data.’

  15. Earth Analytics Bootcamp Course

    Earth Analytics Bootcamp Course

    2019-10-15 17:57:34 | Teaching Materials | Contributor(s): Jenny Palomino, Leah Wasser

    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU Boulder.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.