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Software suggestion for sequence data: MEGA
Check out this intro-level, user-friendly GUI application MEGA: Molecular Evolutionary Genetics Analysis.
David Shaner LeBauer
30 Oct 2018 | Teaching Materials | Contributor(s):
By Richard FitzHugh1, Jin-ichi Nagumo2
1. Technische Hochschule 2. University of Tokyo
The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).
ModelSim Population Biology Unit
By Uri Wilensky1, Paulo Blikstein2, Corey Brady3, David Figlio1, Pratim Sengupta4, Jason Bertsche1, Yu (Bryan) Guo1, Nathan Holbert1, Michael Novak1, Firat Soylu1, Aditi Wagh1, Gokul Krishnan4, Brogan Miller2, Shima Salehi2
1. Northwestern University 2. Stanford University 3. Inquire Learning 4. Vanderbilt University
This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology.
Java Applets for Power and Sample Size
By Russ Lenth
Statistics and Actuarial Science Department, University of Iowa
This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.
Tools: New tools for new science
By Harry Shum
A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.
25 Oct 2018 | Teaching Materials | Contributor(s):
By Robert T Pennock1, Diane Blackwood1
Michigan State University
Avida-ED is an award-winning educational application developed at Michigan State University for undergraduate biology courses to help students learn about evolution and scientific method.
23 Oct 2018 | Teaching Materials | Contributor(s):
By Bob Sheehy
A Hardy-Weinberg simulation program.
Sample NetLogo Code of Bacterial Growth
01 Oct 2018 | Teaching Materials | Contributor(s):
By Anne Elizabeth Yust
The New School
Each NetLogo file is a sequential version of the final bacterial growth model produced in the Bacterial Growth Tutorial. These are to be used as checks to one's understanding alongside the tutorial.
Augmented Reality Metabolic Pathways (ARMET)
12 Sep 2018 | Teaching Materials | Contributor(s):
By Eduardo Galembeck
University of Campinas (Brazil)
The ARMET app is developed using Unity, 3D molecules obtained from Protein Data Bank and ChemSpider-chemical structure database, the usage data are stored into a database (MySQL) and are analyzed...
Cookbook for R
11 Sep 2018 | Teaching Materials | Contributor(s):
By Winston Chang
The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
IPMpack: an R package for Integral Projection Models
By C. Jessica E. Metcalf1, Sean M. McMahon2, Roberto Salguero-Gómez3, Eelke Jongejans4, Cory Merow5
1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut
IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
21 Jun 2018 | Teaching Materials | Contributor(s):
By Nick Galt1, Tomas Helikar2
1. Valley City State University and University of Nebraska-Lincoln 2. University of Nebraska-Lincoln
Session presentation on an easy-to-use software, that makes this computational modeling approach accessible to any student and instructor
13 Jun 2018 |
Posted by Carlos Christopher Goller
Populus: Simulations of Population Biology
08 Feb 2018 | Teaching Materials | Contributor(s):
By D. N. Alstad
University of Minnesota
Link to Populus Software
4th Avida-ED Active LENS Workshop: Summer 2018
06 Feb 2018 |
Posted by QUBES Team
The 4th annual Avida-ED Active LENS Workshops will be held this summer. This year, we are offering two options: one, at the North Carolina A&T University in Greensboro, North Carolina,...
Prepare your computer
21 Jul 2017 |
Posted by Shuchismita Dutta
out of 5 stars
19 Oct 2015 |
DFIELD is an interactive tool that graphs a direction field for a given differential equation.
04 Sep 2015 | | 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.