QUBES - Resources: All

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...

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...

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...

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...

50 years of Data Science

0.0 out of 5 stars

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...

50 years of Data Science

0.0 out of 5 stars

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...

GENI-ACT

0.0 out of 5 stars

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....

Modernizing Statistics Education via Biology Applications

0.0 out of 5 stars

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...

Population Genetics: When Darwin Met Mendel - Crash Course Biology

3.5 out of 5 stars

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.

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

0.0 out of 5 stars

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...

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

0.0 out of 5 stars

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...

HHMI Teacher Guide: Math and Statistics

0.0 out of 5 stars

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

0.0 out of 5 stars

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.

Joel E. Greengiant Learns About Peas: From Nucleotides to Selection

0.0 out of 5 stars

17 Jun 2015 | Teaching & Reference Material | Contributor(s): Merle Heidemann, Peter J.T. White, Jim Smith

This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/845This case study follows purveyors of peas, Joel E. and Jolene Greengiant, as they learn about the origin, biochemistry, genetics and eventual artificial selection of sweet...

BioRadiant

0.0 out of 5 stars

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

Interactive statistics package using R and Shiny.

Statistical Power for One-Sample t-Test

0.0 out of 5 stars

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

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

Home