Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
Amaya Maria Garcia Costas
Louse Genetics, Genomics, and Gene Function...Oh My!
22 Apr 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Julie Allen, Brad W Goodner, Debra Linton1
Central Michigan University
In this module, students will be investigating a louse gene with an unknown function to determine if it might be important in the evolution of the louse ecomorphs.
Loren Annikki Launen
Alexa A Sawa
Erika Schwarz Taylor
Aug 15 2019
2019 Build A Genome Network Workshop
Erin R. Morris
Mark William Frazier
Nicole M. Vega-Cotto
Mark Ewusi Shiburah
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.
May 30 2019
Genomics Workshop Pilot and BugBBQ
William M Maza
Rachael M St. Jacques
28 Feb 2019 | Teaching Materials | Contributor(s):
Making toast: Using analogies to explore concepts in bioinformatics
04 Jan 2019 | Teaching Materials | Contributor(s):
By Kate L. Hertweck
University of Texas at Tyler
Module using analogies to introduce students to genomics
A Hands-on Introduction to Hidden Markov Models
By Tony Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2
1. Truman State University 2. Washington University in St. Louis
A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.