Swirl

10 Jul 2020 | Software (On-site)

Swirl: Learn R, in R

Radiant Lite

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

Stripped down version of Radiant on QUBES

Introduction to Genome Browser: What is a Gene?

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,...

Introduction to Genome Browser: What is a Gene?

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,...

Radiant

16 Sep 2015 | Software (On-site)

Business analytics using R and Shiny.

Avida-ED Lab Book Summer 2017

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) 

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...

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...

Modernizing Statistics Education via Biology Applications

21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

HHMI Teacher Guide: Math and Statistics

23 Sep 2015 | Teaching & Reference Material | Contributor(s): Paul Strode, Ann Brokaw

This resource has been updated - find the current version here: https://qubeshub.org/publications/342Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...

R Commander

04 Sep 2015 | Software (On-site) | Contributor(s): Drew LaMar

R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

E. coli Citrate Use

11 Aug 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/publications/357Bacteria are excellent model organisms for studying evolution.  They are easy to grow, maintain, and handle under very controlled conditions.  Even more importantly for evolution...

Monkey Opsins

11 Aug 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/publications/356Humans have trichromatic vision. Our eyes detect colors in the visible range of the spectrum using three different cone cell types, each maximally stimulated by a different wavelength of...

BioRadiant

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

Interactive statistics package using R and Shiny.

Statistical Power for One-Sample t-Test

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

Interactive visualization of statistical power for a one-sample t-test.

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

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...

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

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...

AIM-UP! GIS and bats lesson

28 Mar 2015 | Teaching & Reference Material

This resource has been updated - find the current version here: https://qubeshub.org/publications/335This lesson introduces the use of GIS (geographic information systems) in the study of biological questions, using bats as the model organism. This activity requires access to GIS...

AIM-UP! Coal balls lesson

28 Mar 2015 | Teaching & Reference Material | Contributor(s): Monte Garroutte, Jordan Metzgar, Hirotsugu Mori

This resource has been updated - find the current version here: https://qubeshub.org/publications/334In this activity, students learn about ancient plant life and climate change by examining coal balls. In addition to the lesson itself, information is provided on where to purchase coal ball...

Numbers Count!: Statistics course

28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application.