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C6. Explore and/or model biological interactions, networks and data integration using bioinformatics. Modeling of biological systems at all levels, from cellular to ecological, is being facilitated by technological and algorithmic advances. These models provide novel insights into the perturbations in systems that can cause disease, interactions of microbes with various eukaryotic systems, how metabolic networks respond to environmental stresses, etc. Students should be familiar with the techniques used to generate these analyses and should be able to interpret the outputs and use the data to generate novel hypotheses.
Genome Solver: Complete Set of Lessons
23 Oct 2019 | Teaching Materials | Contributor(s):
By Anne Rosenwald1, Gaurav Arora2, Vinayak Mathur3
1. Georgetown University 2. Gallaudet University 3. Cabrini University
The Genome Solver Project began as a way to teach faculty some basic skills in bioinformatics - no coding or scripting. These Lessons also work well in the undergraduate classroom, culminating with...
Bioinformatics / Neuroinformatics
03 Jan 2019 | Teaching Materials | Contributor(s):
By William Grisham
University of California, Los Angeles
This module is a computer-based introduction to bioinformatics resources. This easy-to-adopt module weaves together several important bioinformatic tools so students can grasp how each is used in...
Complete Set of Lessons
01 Nov 2018 | Teaching Materials | Contributor(s):
Wolf Sheep Predation Simulation Exercise
05 Jun 2017 | Teaching Materials | Contributor(s):
By Liz Ryder
Worcester Polytechnic Institute
This resource is an exercise to introduce students to agent-based modeling of biological systems through working with a simple existing model.
03 Aug 2016 | Teaching Materials | Contributor(s):