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  1. 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.

  2. 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.

  3. Inclusive Pedagogy for Life Science Education Tagging Ontology

    Inclusive Pedagogy for Life Science Education Tagging Ontology

    2019-10-18 02:08:50 | Teaching Materials | Contributor(s): Carrie Diaz Eaton, Sharon Rivera, Bryan Dewsbury | doi:10.25334/FFE7-ES61

    Inclusive Pedagogy for Life Science Education Tagging Ontology

  4. Earth Analytics in Python Course

    Earth Analytics in Python Course

    2019-10-15 21:04:48 | Teaching Materials | Contributor(s): Leah Wasser, Jenny Palomino, Chris Holdgraf

    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’.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.’

  10. 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.

  11. 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.

  12. 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.

  13. UDL of the Day: Introducing Faculty to Universal Design for Learning through Case Activities

    UDL of the Day: Introducing Faculty to Universal Design for Learning through Case Activities

    2019-10-09 14:36:49 | Teaching Materials | Contributor(s): Andrew Osborne Hasley, Hayley Orndorf | doi:10.25334/B3Y3-R686

    Presentation by BioQUEST on providing Universal Design for Learning professional development, given at the Octboer 2019 UDL-HE Digicon

  14. 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.

  15. 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.

  16. BioSkills Guide

    BioSkills Guide

    2019-09-30 18:48:14 | Teaching Materials | Contributor(s): Alexa Clemmons, Jerry Timbrook, Jon Herron, Alison Crowe | doi:10.25334/3MNW-KJ05

    The BioSkills Guide comprises program- and course-level learning outcomes that elaborate what general biology majors should be able to do by the time they graduate.

  17. 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.

  18. Modeling the lac Operon to Understand the Regulation of Gene Expression in Prokaryotes

    Modeling the lac Operon to Understand the Regulation of Gene Expression in Prokaryotes

    2019-09-27 17:46:06 | Teaching Materials | Contributor(s): Sam S Donovan | doi:10.25334/ESGF-TM72

    This resource is a recitation activity designed for an introductory biology course in which students explore a lac operon simulation (https://qubeshub.org/resources/phetlacoperon).

  19. Population Demography in Swirl

    Population Demography in Swirl

    2019-09-26 10:55:28 | Teaching Materials | Contributor(s): Emily Weigel | doi:10.25334/01R3-T625

    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

  20. Population Ecology in Swirl: Estimating Population Sizes

    Population Ecology in Swirl: Estimating Population Sizes

    2019-09-26 10:53:13 | Teaching Materials | Contributor(s): Mary E McWhirt, Emily Weigel | doi:10.25334/W5TS-HR94

    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population