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.
A Critical Guide to BLAST
04 Dec 2020 | Teaching Materials | Contributor(s):
By Teresa Attwood1, GOBLET Foundation
The University of Manchester, Manchester, UK
This Critical Guide in the Introduction to Bioinformatics series provides an overview of the BLAST similarity search tool, briefly examining the underlying algorithm and its rise to popularity.
A Critical Guide to the PDB
05 Dec 2020 | Teaching Materials | Contributor(s):
This Critical Guide in the Introduction to Bioinformatics series provides a brief outline of the Protein Data Bank – the PDB – the world’s primary repository of biological macromolecular structures.
Behavioral Genetics: Investigating the genes of a complex phenotype in fruit flies
03 Jan 2019 | Teaching Materials | Contributor(s):
By Craig E. Stanley, Jr., Charles Hadley S. King, IV, Michelle Thornton, Rob J. Kulathinal
Introductory genetics laboratory published as GSA Learning Resource
Bioinformatics / Neuroinformatics
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...
Bioinformatics: An Interactive Introduction to NCBI
By Seth Bordenstein
Marine Biological Laboratory
Modules showing how the NCBI database classifies and organizes information on DNA sequences, evolutionary relationships, and scientific publications. And a module working to identify a nucleotide...
Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach
29 May 2019 | Teaching Materials | Contributor(s):
By Ami Erickson
This laboratory module is a modification of the original published on CourseSource with a focus on plant biology. In the final activity, students conduct a BLAST to compare histone protein...
Bioinformatics: the Power of Computers in Biology – a Practical Guide
03 Dec 2020 | Teaching Materials | Contributor(s):
By Daniel Barker1, Heleen Plaisier2, Stevie Anne Bain1, Teresa Attwood
1. The University of Edinburgh, Edinburgh, UK 2. Royal Botanic Garden, Edinburgh, UK
This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.
DNA Subway Learning Resources
18 Oct 2017 | Teaching Materials | Contributor(s):
By Jason Williams
DNA Learning Center
DNA Subway is a NIBLSE Recommended resource. This is a collection of learning resources associated with DNA Subway.
Exploring HIV Evolution
05 Aug 2016 | Teaching Materials | Contributor(s):
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 Jun 2017 | Teaching Materials | Contributor(s):
Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics approaches
04 Jan 2019 | Teaching Materials | Contributor(s):
By Kelsey Metzger
University of Minnesota, Rochester
In this four- part guided activity, students will learn about the structure and function of human autosomal and sex chromosomes, view and interpret gene maps, and gain familiarity with basic...
Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts
By Eric T. Holland1, Greg Manley1, Tamara Chiba1, Rona Ramos1, Simon Mochrie1, Jennifer Frederick1
Lesson on what it means for biological processes to be Poissonian, published in CourseSource
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.
01 Aug 2017 | Teaching Materials | Contributor(s):
13 Nov 2017 | Teaching Materials | Contributor(s):
By Matthew Escobar1, Sam S Donovan2, Irina Makarevitch3, Bill Morgan4, Sabrina Robertson5
1. California State University San Marcos 2. University of Pittsburgh 3. Hamline University 4. The College of Wooster 5. North Carolina State University
02 Jul 2021 | Teaching Materials | Contributor(s):
Sequence Similarity: Introducing Biological Databases to Community College Biology Students
01 Jun 2021 | Teaching Materials | Contributor(s):
By Jennifer Katcher
This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
Using DNA Subway to Analyze Sequence Relationships
This is a bioinformatics exercise using DNA Subway
28 May 2018 | Teaching Materials | Contributor(s):
By Jason Williams1, Ray A. Enke2, Oliver Hyman2, Emily Lescak3, Sam S Donovan4, William Tapprich5, Elizabeth F Ryder6
1. DNA Learning Center 2. The Department of Biology, James Madison University; The Center for Genome & Metagenome Studies, James Madison University 3. University of Alaska 4. University of Pittsburgh 5. University of Nebraska-Omaha 6. Worcester Polytechnic Institute
This is a bioinformatics exercise using the DNA Subway Blue Line, a user-friendly pipeline of bioinformatics tools, to analyze a collection of mosquito DNA bar-code sequences.