You are here: Home / Resources / All

Resources: All

Submit a resource

Find a resource
  1. introductory x
  2. undergraduate x
  3. highschool x
  4. extendedproject x
  5. r x

  1. A Quick Guide to Teaching R Programming to Computational Biology Students

    0.0 out of 5 stars 

    03 Jun 2015 | Teaching & Reference Material | Contributor(s): Stephen Eglen

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/838An introduction from an experienced educator in teaching R to computational biology graduate students. Contains information that is relevant for the undergraduate classroom...

  2. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    0.0 out of 5 stars 

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

  3. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  4. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  5. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  6. BioRadiant

    0.0 out of 5 stars 

    19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

    Interactive statistics package using R and Shiny.

  7. CATALST - Change Agents for Teaching and Learning Statistics

    0.0 out of 5 stars 

    22 Jan 2015 | Teaching & Reference Material | Contributor(s): Joan Garfield, Robert delMas, Andrew Zieffler, Allan Rossman, Beth Chance, John Holcomb, George Cobb

    From the project website: "This project uses the acronym CATALST (Change Agents for Teaching and Learning Statistics) to represent the goal of accelerating change in the teaching and learning of statistics. The changes we are working towards are in both content and pedagogy. Our focus is the...

  8. Collecting and analyzing binomial data

    0.0 out of 5 stars 

    15 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.

  9. Cookbook for R

    0.0 out of 5 stars 

    10 Jan 2015 | Teaching & Reference Material | Contributor(s): Winston Chang

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/780The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

  10. Course materials for computational genomics using R

    0.0 out of 5 stars 

    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 

  11. Data Analysis for the Life Sciences

    0.0 out of 5 stars 

    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...

  12. DataCamp

    0.0 out of 5 stars 

    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. Ecology and Epidemiology in R

    0.0 out of 5 stars 

    09 May 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/837

  14. Free Introduction to R Course at DataCamp

    0.0 out of 5 stars 

    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...

  15. Google Charts Example - Bubble

    0.0 out of 5 stars 

    18 May 2018 | Software (On-site)

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

  16. Introduction to Genome Browser: What is a Gene?

    0.0 out of 5 stars 

    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  17. Introductory Science and Mathematics Education for 21st-Century Biologists

    0.0 out of 5 stars 

    24 Feb 2015 | Teaching & Reference Material | Contributor(s): William Bialek, David Botstein

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/830Article abstract:  "Galileo wrote that “the book of nature is written in the language of mathematics”; his quantitative approach to understanding the...

  18. IPMpack: an R package for Integral Projection Models

    0.0 out of 5 stars 

    19 Jan 2015 | Software (Off-site) | Contributor(s): C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gómez, Eelke Jongejans, Cory Merow

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/779IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models. An IPM is a demographic tool to explore the...

  19. Linear models and linear mixed effects models in R: Tutorial 1

    0.0 out of 5 stars 

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

  20. OpenIntro

    0.0 out of 5 stars 

    24 Jan 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/889OpenIntro was started with one goal in mind: create a free and open-source introductory textbook. The mission of OpenIntro is to make educational products that...

Close

Home

Search