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  1. Collecting and analyzing binomial data

    17 Jul 2020 | Software (On-site) | Contributor(s): Suann Yang, Darcy Taniguchi, Jenny Hazlehurst

    In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.

  2. Swirl

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  3. Radiant Lite

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  4. Radiant Lite

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  5. Google Charts Example - Bubble

    18 May 2018 | Software (On-site)

    This is the "bubble" example from Joe Cheng's Google Charts package.

  6. R Shiny App Example

    09 May 2018 | Software (On-site) | Contributor(s): Drew LaMar

    This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.

  7. Radiant

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  8. Free Introduction to Python for Data Science Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  9. Free Introduction to R Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  10. Free Introduction to R Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  11. DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  12. DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  13. Wood Density

    15 Oct 2015 | Software (On-site)

    Wood density shiny app

  14. 50 years of Data Science

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  15. Course materials for computational genomics using R

    19 Nov 2015 | Teaching & Reference Material | Contributor(s): Hong Qin

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/907The R code and data are deposited at Github: https://github.com/hongqin/RCompBio 

  16. Population Genetics: When Darwin Met Mendel - Crash Course Biology

    03 Oct 2015 | Teaching & Reference Material | Contributor(s): CrashCourse

    This Youtube video talks about population genetics, which helps to explain the evolution of populations over time by combing the principles of Mendel and Darwin, and by means of the Hardy-Weinberg equation, all in an upbeat, modern and somewhat zany manner.

  17. Mendelian Genetics, Probability, Pedigree, and Chi-Squared Statistics

    03 Oct 2015 | Teaching & Reference Material | Contributor(s): Anne Brokaw, Michelle Garber-Talamo

    This resource has been updated - find the current version here: https://qubeshub.org/publications/341In this classroom activity, students are introduced to the genetics of sickle cell disease by a short film The Making of the Fittest: Natural Selection in Humans . A classroom handout...

  18. A Laboratory Class Exploring Microbial Diversity and Evolution Using Online Databases, the Biology Workbench, and Phylogenetics Software

    29 Sep 2015 | Teaching & Reference Material | Contributor(s): Sarah Boomer, Kelly Shipley, Bryan Dutton, Daniel Lodge

    Students assemble and align bacterial datasets using DNA information downloaded from the National Center for Biotechnology Information website and Biology Workbench.  Specifically, they compare unknown original DNA sequences (from, in our case, hot spring communities) to a backbone of...

  19. Data Analysis for the Life Sciences

    25 Sep 2015 | Teaching & Reference Material | Contributor(s): Rafael A Irizarry, Michael I Love

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/841An online stats book written completely in R!From the authors:"Data analysis is now part of practically every research project in the life sciences. In this...

  20. Performing a Population Viability Analysis from Data Students Collect on a Local Plant

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Noah Chamey, Sydne Record

    This resource has been updated - find the current version here: https://qubeshub.org/publications/264During two lab periods, students collect demographic data on perennial plants and then use these data in a matrix model to perform population viability analyses. During the first lab,...