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C3. Apply statistical concepts used in bioinformatics. In addition to the basic statistics found in many biology curricula, modern life scientists should have an understanding of the statistics of large datasets and multiple comparisons.
RNAseq data analysis using Galaxy
02 Jul 2021 | 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
This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.
A Critical Guide to the PDB
05 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 a brief outline of the Protein Data Bank – the PDB – the world’s primary repository of biological macromolecular structures.
A Critical Guide to BLAST
04 Dec 2020 | Teaching Materials | Contributor(s):
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.
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...
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
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.
Finding Selection in All the Right Places
03 Jan 2019 | Teaching Materials | Contributor(s):
By Juliet F. K. Noor, Mohamed A. F. Noor
Lab introducing students to evolutionary genetics using bioinformatics and biocuration, 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...
13 Nov 2017 | Teaching Materials | Contributor(s):
01 Aug 2017 | Teaching Materials | Contributor(s):
By Matthew Escobar
California State University - San Marcos
03 Jul 2017 | Teaching Materials | Contributor(s):