C1. Explain the role of computation and data mining in addressing hypothesis-driven and hypothesis-generating questions within the life sciences. Life sciences students should have a clear understanding of the role computing and data mining play in modern biology. Given a traditional hypothesis-driven research question, students should have ideas about what types of data and software exist that could help them answer the question quickly and efficiently. They should also appreciate that mining large datasets can generate novel hypotheses to be tested in the lab or field.
RNAseq data analysis using Galaxy
03 Jul 2017 | Teaching Materials | Contributor(s):
By Matthew Escobar
California State University - San Marcos
This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
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.
Exploring HIV Evolution
By Sam S Donovan1, Tony Weisstein2
1. University of Pittsburgh 2. Truman State University
In this activity you will study aspects of sequence evolution by working with a set of HIV sequence data from 15 different subjects (Markham, et al., 1998). You will first learn about the dataset,...
05 Aug 2016 | Teaching Materials | Contributor(s):
03 Aug 2016 | Teaching Materials | Contributor(s):