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T2R38 taste receptor polymorphisms underlie susceptibility to upper respiratory infection
23 Oct 2018 | Teaching Materials | Contributor(s):
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.
Advancing population ecology with integral projection models: a practical guide
By Cory Merow1, Johan Dahlgren2, Jessica Metcalf3, Dylan Childs4, Margaret Evans5, Eelke Jongejans6, Sydne Record7, Mark Rees4, Roberto Salguero-Gómez8, Sean McMahon9
1. Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA 2. Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden 3. Department of Zoology, Oxford University, Oxford, UK 4. Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK 5. Laboratory of Tree-Ring Research and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 6. Department of Animal Ecology and Ecophysiology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, The Netherlands 7. Harvard University, Harvard Forest, Petersham, MA, USA 8. Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, Qld, Australia 9. Smithsonian Environmental Research Center, Edgewater, MD, Edgewater, MD, USA
Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to make population projections using regression...
BioNumbers-the database of key numbers in molecular and cell biology
19 Oct 2018 | Teaching Materials | Contributor(s):
By Ron Milo1, Paul Jorgensen2, Michael Springer3
1. Weizmann Institute of Science 2. Harvard Medical School 3. Beth Israel Deaconess Medical Center
BioNumbers is a database of key numbers in molecular and cell biology—the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists
Cell Biology by the Numbers
18 Oct 2018 | Teaching Materials | Contributor(s):
By Ron Milo1, Rob Phillips2
1. Weizmann Institute of Science 2. California Institute of Technology
Vignettes that reveal how numbers serve as a sixth sense to understanding our cells
R for biologists
By Marco Martinez
University of Tennessee - Knoxville
An introductory guide to data analysis in R for life sciences researchers.
BioNumbers: The Database of Useful Biological Numbers
17 Oct 2018 | Teaching Materials | Contributor(s):
By Ron Milo1, Paul Jorgensen2, Michael Springer2
1. Weizmann Institute of Science 2. Harvard Medical School
A database of biological numbers that you can search and browse.
Documenting teaching scholarship among undergraduate biology educators using OER
11 Oct 2018 | Teaching Materials | Contributor(s):
By Ahrash Bissell1, Lauren Collister2, Sam S Donovan2, Drew LaMar3, Hayley Orndorf2
1. The Monterey Institute for Technology and Education 2. University of Pittsburgh 3. College of William and Mary
Poster on the use, adaptation, and reuse of Open Educational Resources within the QUBES community at OpenEd 2018
Use of Peerwise and Twitter in Open Pedagogy
10 Oct 2018 | Teaching Materials | Contributor(s):
By Sarah Prescott
University of New Hampshire
This presentation will demonstrate the use of two open tools (Peerwise and Twitter) to engage students in creating and discussing course content.