Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
C5. Find, retrieve, and organize various types of biological data. Given the numerous and varied datasets currently being generated from all of the ‘omics fields, students should develop the facility to: identify appropriate data repositories; navigate and retrieve data from these databases; and organize data relevant to their area of study in flat files or small local stand-alone databases.
A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
07 Jun 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
28 Feb 2019 | Teaching Materials | Contributor(s):
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 - Investigating Sequence Similarity
04 Dec 2018 | Teaching Materials | Contributor(s):
By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Carlos Christopher Goller3, Sabrina Robertson3
1. Adams State University 2. Fairmont State University 3. North Carolina State University
This laboratory module, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.
05 Jul 2017 | Teaching Materials | Contributor(s):
By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3, Carlos Christopher Goller4, Sabrina Robertson5
1. Adams State University 2. Hampshire College 3. Alabama State University 4. North Carolina State University 5. NC State
05 Jun 2017 | Teaching Materials | Contributor(s):
By Adam Kleinschmit1, Benita Brink1, Steven Roof2, Komal Vig3
1. Adams State University 2. Hampshire College 3. Alabama State University
31 Jan 2017 | Teaching Materials | Contributor(s):
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...
BSL-4: Authorized Personnel Only
24 Sep 2018 | Teaching Materials | Contributor(s):
By Nicole Anthony
Biological Sciences, Toronto District School Board
National Center for Case Study Teaching in Science resource on the 2014 Ebola epidemic. This resource is also included in the NIBLSE Learning Resource Collection
Colon Cancer: A Case of Genetic Bad Luck
By Anne M. Casper
Eastern Michigan University
Case study developed for an introductory genetics class published in the National Center for Case Study Teaching in Science
Complete Set of Lessons
01 Nov 2018 | 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...
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.
Exploration of the Human Genome by Investigation of Personalized SNPs
By Lani C. Keller
To increase students' interest in their own genomes, this computer-based laboratory lesson is designed to be coupled with the opportunity for the students to be genotyped by the consumer sequencing...
Finding Selection in All the Right Places
By Juliet F. K. Noor, Mohamed A. F. Noor
Lab introducing students to evolutionary genetics using bioinformatics and biocuration, published as GSA Learning Resource
Genome Solver: Complete Set of Lessons
23 Oct 2019 | Teaching Materials | Contributor(s):
Introduction to UNIX command line
22 Jan 2020 | Teaching Materials | Contributor(s):
By Serghei Mangul1, Kristen Butela2, Michael Sierk3, Lihua Stefan
1. University of California - Los Angeles 2. University of Pittsburgh 3. Saint Vincent College
A laboratory module for an upper-level undergraduate biology course in which students will be able to carry out simple tasks using the Unix command-line environment.
Murder by HIV? Undergraduate edition
04 Jan 2019 | Teaching Materials | Contributor(s):
By Naowarat (Ann) Cheeptham1, Laura B. Regassa2, Michèle I. Shuster3
1. Thompson Rivers University 2. Georgia Southern University 3. New Mexico State University
Bioinformatics case study focusing on phylogenetic tree interpretation, published in the National Center for Case Study Teaching in Science
By Bill Morgan1, Matthew Reeder2
1. The College of Wooster 2. Ohio State University
In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells...