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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...
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GENI-ACT
24 Jan 2016 | Software (Off-site)
GENI-ACT allows collaborative genome annotation. Researchers or students can collectively suggest changes to an existing genome with supporting evidence. Changes can be ported back to genbank by exporting to a sequin file format. GENI-ACT also has ported the education components from IMG-ACT....
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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
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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...
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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...
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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,...
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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...
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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.
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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.
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R Reference Card
02 Sep 2015 | Teaching & Reference Material | Contributor(s): Tom Short
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/840by Tom Short, EPRI PEAC, tshort@epri-peac.com 2004-11-07Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R...
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R Shiny Basics
17 Aug 2015 | Teaching & Reference Material | Contributor(s): Claire K. Lunch, Christine M. Laney
A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).
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Rstudio cheatsheets
17 Aug 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/839Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio. This link will direct you to the following cheatsheets:Shiny...
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A Quick Guide to Teaching R Programming to Computational Biology Students
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...
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BioRadiant
19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar
Interactive statistics package using R and Shiny.
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BioRadiant
19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar
Interactive statistics package using R and Shiny.
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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.
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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.
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R for biologists
18 May 2015 | Teaching & Reference Material | Contributor(s): Marco Martinez
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/815An introductory guide to data analysis in R for life sciences researchers.
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Ecology and Epidemiology in R
09 May 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/837
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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...