Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
Natural History Collections as Emerging Resources for Innovative Education
23 Oct 2018 | Teaching Materials | Contributor(s):
By Joseph A. Cook, Scott V. Edwards, Eileen A. Lacey, Robert P. Guralnick, Pamela S. Soltis, Douglas E. Soltis, Corey K. Welch, Kayce C. Bell, Kurt E. Galbreath, Christopher Himes, Julie M. Allen, Tracy A. Heath, Ana C. Carnaval, Kimberly L. Cooper, Mark Liu, James Hanken, Stefanie Ickert-Bond
Natural history collections have the potential to help transform undergraduate science education from passive learning into an active exploration of the natural world.
Data from: Advancing population ecology with integral projection models: a practical guide
By Cory Merow, Johan Dahlgren, Jessica Metcalf, Dylan Childs, Margaret Evans, Eelke Jongejans, Sydne Record, Mark Rees, Roberto Salguero-Gómez, Sean McMahon
Review important resources for building IPMs and provide a comprehensive guide, with extensive R code, for their construction.
EDSIN Conference Flier
By Alycia Crall
National Ecological Observatory Network
This is the official conference flier. Feel free to distribute via your networks.
Molecular Biology of the Cell (MBoC)
23 Oct 2018 | Teaching Materials
An online journal focusing upon generally-applicable studies of cell biology.
An Introduction to agent-based modeling.
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.
AMS Mathematical Moments
Discover the world of mathematics with Mathematical Moments, 8.5'' x 11'' pdfs, available in many different scientific topics.
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.
T2R38 taste receptor polymorphisms underlie susceptibility to upper respiratory infection
By Robert J Lee1, Guoxiang Xiong1, Jennifer M. Kofonow1
University of Pennsylvania
Article presenting evidence that the bitter taste receptor T2R38 regulates the mucosal innate defense of the human upper airway.
Sting, Carry and Stock: How Corpse Availability Can Regulate De-Centralized Task Allocation in a Ponerine Ant Colony
By Istvan Karsai1, Thomas Schmickl1
East Tennessee State University
Model showing that organization of work through a common stomach system can allow Ectatomma ruidum to collectively forage for food in a robust, reactive and reliable way
By Bob Sheehy
A Hardy-Weinberg simulation program.
Data Analysis for the Life Sciences
By Rafael A Irizarry1, Michael I Love1
An online stats book written completely in R
R Reference Card
By Tom Short
Summary of reference info for using R
22 Oct 2018 | Teaching Materials
Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.
A Quick Guide to Teaching R Programming to Computational Biology Students
22 Oct 2018 | Teaching Materials | Contributor(s):
By Stephen Elgen
University of Cambridge
An introduction from an experienced educator in teaching R to computational biology graduate students.
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.
Linear Models and Linear Mixed Effects in R: Tutorial 1
The first of two tutorials that introduce you to linear and linear mixed models.
Taking a Second Look: Investigating Biology with Visual Datasets
By Ethel Stanley
An article exploring the use of visual datasets as an educational aid for biology students.
Introductory Science and Mathematics Education for 21st-Century Biologists
By William Bialek1, David Botstein2
1. Department of Physics, Princeton University, Princeton, NJ 08544, USA., Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. 2. Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA., Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
A unified introductory science curriculum that fully incorporates mathematics and quantitative thinking aimed to incorporate biology into the traditional quantitative cultures that have come to...
Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
By Jacqueline Augusiak1, Andreas Focks1, Béatrice M. Frank2, Faten Gabsi3, Alice S.A. Johnston4, Chun Liu4, Benjamin T. Martin5, Mattia Meli6, Viktoriia Radchuk2, Pernille Thorbek7, Steven F Railsback8, Volker Grimm9
1. Wageningen University, Aquatic Ecology and Water Quality Management Group, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, The Netherlands 2. Université Catholique de Louvain, Earth and Life Institute, Croix du Sud 2, 1348 Louvain-la-Neuve, Belgium 3. RWTH Aachen University, Institute for Environmental Research, Worringerweg 1, 52074 Aachen, Germany 4. University of Reading, School of Biological Sciences, Philip Lyle Building, Room 405, Reading RG6 6AS, UK 5. University of California Santa Barbara, Department of Ecology, Evolution, and Marine Biology, Santa Barbara, CA 93106-9620, USA 6. Roskilde University, Department of Environmental, Social and Spatial Change, Universitetsvej 1, P.O. Box 260, 4000 Roskilde, Denmark 7. yngenta, Environmental Safety, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK 8. Lang Railsback & Associates 9. Unknown
We introduce TRACE, a framework for documenting model testing and analysis. TRACE is based on the recently proposed framework of model "evaluation" , and is designed to make models fit for...
How the Scientific Method Works
By Charles Bryant
An episode dedicated to learning about how we explore our world using the scientific method.