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C7. Use command-line bioinformatics tools and write simple computer scripts: Most biological datasets (e.g., genomic and proteomic sequences, BLAST results, RNASeq and resulting differential expression data) are available as text files; the most powerful and dynamic way to interact with these datasets is through the command line or shell scripting. Students should be able to manipulate their own data and to create and modify complex data processing and analysis workflows.
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.
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):
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
04 Jan 2019 | Teaching Materials | Contributor(s):
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...
An Introduction to the R Programming Environment
By K. A. Garrett1, P. D. Esker1, A. H. Sparks1
Kansas State University
An online module introducing students and biologists to R, published in American Phytopathological Society
31 Jul 2018 | Teaching Materials | Contributor(s):
By Serghei Mangul
University of California - Los Angeles
These are materials for a Unix workshop with hands-on examples that requires no prior knowledge of Unix or programming.