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3D breast cancer tissue reconstruction
24 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Kerri-Ann Norton2
1. Radford University 2. Johns Hopkins University
This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
17 Sep 2018 | Teaching Materials | Contributor(s):
out of 5 stars
24 Aug 2015 | | Contributor(s):: John R Jungck, Jennifer A Spangenberg, Noppadon Khiripet, Rawin Viruchpinta, Jutarat Maneewattanapluk
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/775Artistid Lindemayer (1975, 1989, 1990) invented a mathematics based on graph grammar rewriting systems to describe iteratively branching structures; these were named in...
11 Sep 2018 | Teaching Materials | Contributor(s):
By John R Jungck1, Jennifer Spangenberg2, Noppadon Khiripet3, Rawin Viruchpinta3, Jutarat Maneewattanapluk3
1. Interdisciplinary Science Learning Center at the University of Delaware 2. Beloit College 3. National Electronics and Computer Technology Center
3D FractaL-Tree allows scientists to collect data from actual specimens in the field or laboratory, insert these measurements into a spatially explicit L-system package, and then visually compare...
A brief review of basic probability theory
10 May 2015 | | Contributor(s):: Winfried Just
The spread of infectious diseases is inherently a stochastic process and the materials posted at this web site heavily rely on probability theory. Here we review some basic concepts of probability theory for easy reference. The material is restricted to notions that are used in teaching...
A Curious Display
28 Oct 2019 | Teaching Materials | Contributor(s):
By Margaret Waterman1, Brandon Call, Sandi Connelly2, Kristin Jenkins3, Sam Catherine Johnston4, Vedham Karpakakunjaram5, Viet Le6, Hayley Orndorf7, Melissa Skyer8, Barbara Spiecker9
1. Southeast Missouri State University 2. Rochester Institute Of Technology 3. BioQUEST 4. CAST Inc. 5. Montgomery College 6. Rochester Institute of Technology 7. University of Pittsburgh 8. National Technical Institute for the Deaf at Rochester Institute of Technology 9. Oregon State University
Case study on genetically modified organisms
A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
28 Feb 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
07 Jun 2019 | Teaching Materials | Contributor(s):
A Growing Concern: Sustaining Soil Resources through Local Decision Making
24 Aug 2015 | | Contributor(s):: Sarah Fortner, Martha Murphy, Hannah Scherer
This resource has been updated - find the current version here: https://qubeshub.org/publications/291This module addresses agricultural productivity by providing students with the opportunity to examine the differences between intensively managed agricultural landscapes (e.g. grazelands,...
A Growing Concern: Sustaining Soil Resources through Local Decision Making
11 Jan 2018 | Teaching Materials | Contributor(s):
By Sarah Fortner1, Martha Murphy2, Hannah Scherer3
1. Wittenberg University 2. Santa Rosa Junior College 3. Virginia Tech
This module addresses this need by providing students the opportunity to examine the differences between intensively managed agricultural landscapes (e.g. grazelands, conventional tillage) and...
A Hands-on Introduction to Hidden Markov Models
04 Jan 2019 | Teaching Materials | Contributor(s):
By Tony Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2
1. Truman State University 2. Washington University in St. Louis
A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.
A Laboratory Class Exploring Microbial Diversity and Evolution Using Online Databases, the Biology Workbench, and Phylogenetics Software
29 Sep 2015 | | 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...
A Pipeline in Paradise
03 Apr 2018 | Teaching Materials | Contributor(s):
By Victoria Schneider
I incorporated fracking into the case study instead of just focusing on building a pipeline, which allowed us to discuss fracking with this case study.
A Pipeline in Paradise, Part 1: Learning the Relevant Science
12 Sep 2018 | Teaching Materials | Contributor(s):
By Shannon N. Conley1, Kathryn De Ridder-Vignone1, Mary K. Handley1, Michael L. Deaton1
James Madison University
This case requires students to integrate information across the following five “knowledge domains” to develop a baseline understanding of the problem.
A quick tour of IONTW
30 Jan 2015 | | Contributor(s):: Winfried Just, Ying Xin
In this module we guide you through some of the capabilities of IONTW. Highlights include the types of networks supported, setting up various types of models of disease transmission, observing the resulting dynamics, and collecting statistics on the outcomes. Along the way, the module also...
A Structured Inquiry Approach to Cotyledon Phenotyping
27 Mar 2018 | Teaching Materials | Contributor(s):
By Lindsey Tuominen
Metropolitan State University
In this lab, students will work with messy data to try to answer the question “How do plants inherit cotyledon color?”
20 Dec 2018 | Teaching Materials | Contributor(s):
By Megan L Van Etten
Pennsylvania State University
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
A Walk Through the Woods
09 Jul 2015 | | Contributor(s):: Jerome Chave, David Coomes, Steven Jansen, Simon L. Lewis, Nathan G. Swenson, Amy E. Zanne, Gaby Lopez-gonzales, J Illic, RB Miller, MC Wiemann, Samantha Swauger
This resource has been updated - find the current version here: https://qubeshub.org/publications/274/Wood density data used in this activity are derived from: Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from:...
ABO Blood Group Frequencies
By John R Jungck1, Jennifer A. Spangenberg2
1. Interdisciplinary Science Learning Center at the University of Delaware 2. Beloit College
An Excel workbook in which students can calculate blood type frequencies through different approaches (Hardy-Weinberg, quadratic formula, and the EM algorithm). The workbook shows the formulas used...