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Cystic Fibrosis Mechanism and Treatment
01 Jul 2019 | Teaching Materials | Contributor(s):
By HHMI BioInteractive
This animation shows how mutations in an ion channel protein lead to the genetic disease cystic fibrosis. The animation also discusses how research on this protein has been used to develop...
Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Molly Phillips1, Debra Linton2, Libby Ellwood3, Natalie Douglas2, Lisa White4, Anna Monfils2
1. iDigBio, Florida Museum of Natural History, University of Florida 2. Central Michigan University 3. La Brea Tar Pits and Museum, Natural History Museum of Los Angeles County 4. University of California Museum of Paleontology, UC Berkeley
Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
11 Jun 2019 | Teaching Materials | Contributor(s):
By James Burton Deemy
College of Coastal Georgia
This is an exercise in island biogeography that allows students to reconstruct splits in the evolutionary history of several hypothetical frog species.
Sequence Similarity Resource Adaptation: Exploring Ebola Virus
16 May 2019 | Teaching Materials | Contributor(s):
By William Tapprich
University of Nebraska-Omaha
This adaptation of the sequence similarity resource provides biology students with a basic set of bioinformatics concepts and tools. These concepts and tools are used to explore relationships...
Species Range Over Space and Time
19 Mar 2019 | Teaching Materials | Contributor(s):
By Debra Linton1, Anna Monfils1, Libby Ellwood2, Molly Phillips3
1. Central Michigan University 2. iDigBio 3. iDigBio, Florida Museum of Natural History, University of Florida
In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
22 Feb 2019 | Teaching Materials | Contributor(s):
By Nadia Bukach1, Todd Lookingbill1, Andrew Davidson2, James R Vonesh2, Kristine Grayson1
1. University of Richmond 2. Virginia Commonwealth University
Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...
Getting students to reason with data: QUBES tools and teaching resources built for introductory biology
21 Feb 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan
University of Pittsburgh
Workshop presented at the 2019 Biology Learning Community Conference
15 Feb 2019 | Teaching Materials | Contributor(s):
By Lou Gross1, Monica Beals1, Susan Harrell1
University of Tennessee Knoxville
This module introduces the Scatchard equation in the context of understanding antigen binding and the properties of antigens. It is intended for an introductory biology audience.
Introduction to Python for Data Science Course
05 Nov 2018 | Teaching Materials
Free Introduction to Python for Data Science Course at DataCamp
Introduction to R Course
Free Introduction to R Course at DataCamp
Lesson VI - The Community Science Project
31 Oct 2018 | Teaching Materials | Contributor(s):
By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3
1. Georgetown University 2. Gallaudet University 3. Cabrini University
Genome Solver's Community Science Project was developed as a way to use the skills taught in the previous lessons. We're asking members of the community to provide instances of potential phage...
An Introduction to agent-based modeling.
23 Oct 2018 | Teaching Materials | Contributor(s):
By Marco A Janssen
Arizona State University
Introductory level textbook based on a collection of lecture notes from an undergraduate course on agent-based modeling at Arizona State University.
An Introduction to Statistical Learning: with Applications in R
By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3
1. University of Southern California 2. University of Washington 3. Stanford University
This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
By Bob Sheehy
A Hardy-Weinberg simulation program.
R Reference Card
By Tom Short
Summary of reference info for using R
Have fish assemblages recovered from the legacy of acid rain?
28 May 2018 | Teaching Materials | Contributor(s):
By Christine May1, Patrick Harmon1
James Madison University
This module provides a framework for upper-level ecology students to learn about limiting factors for stream fish diversity, using data from Shenandoah National Park and gaining skills in...
Expanded Graphing Tutorial
18 Jan 2018 | Teaching Materials | Contributor(s):
By Kiersten Nicole Newtoff1, Cheryl Squair2, Sharon Maureen Homer-Drummond3, Tamar Goulet4
1. Montgomery College 2. University of Hawaii at Manoa 3. Tri-County Technical College 4. University of Mississippi
The tutorial has two approaches for teaching about graph building and choosing the appropriate graph for different data types, a scaffolding approach and a exploration approach which can be...
Effects of Laptop Use on Student Learning
17 Jan 2018 | Teaching Materials | Contributor(s):
By Tony Weisstein
Truman State University
Resource from the 2015 BioQUEST Summer Workshop
Introduction to Probability, Statistics, and Random Processes
out of 5 stars
07 Nov 2016 | | Contributor(s):: Hossein Pishro-Nik
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/896Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access...
Free Introduction to Python for Data Science Course at DataCamp
06 Nov 2016 | | 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...