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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.
Following the Data - PowerPoint Addition to Module
10 Jan 2020 | Teaching Materials | Contributor(s):
By Darlene Panvini
This PowerPoint presentation guides instructors and students through the key background information for the module.
Data is the New Science - Modified and combined with Following the Data Module
In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
BLAST Exercises for Analyzing Cloning Results
09 Jan 2020 | Teaching Materials | Contributor(s):
By Erin R. Morris
Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome...
Databases: A Study of Influenza
By Selene Nikaido
University of Central Missouri
This lesson introduces the student to the Influenza Research Database. Students will select Influenza genome sequences to see how they are related. Students tests hypotheses about evolutionary...
Introduction to Genome Annotation
This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on...
07 Jan 2020 | Teaching Materials | Contributor(s):
By Shawna Reed
Genome Solver modules were combined to make one project for students using tools within NCBI BLAST to explore phylogenetics and horizontal gene transfer from phage to Chlamydia.
Developing Quantitative Skills Using HHMI BioInteractive Resources
03 Jan 2020 | Teaching Materials | Contributor(s):
By Robin Bulleri1, Kristine Grayson2, Melissa Csikari3
1. Carrboro High School 2. University of Richmond 3. Howard Hughes Medical Institute
A workshop on using HHMI BioInteractive data activities to teach science content and quantitative skills
Testing hypotheses about the role of wildfire in structuring avian communities
19 Dec 2019 | Teaching Materials | Contributor(s):
By Lesley Bulluck
Virginia Commonwealth University, Center for Environmental Studies
This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...
Biodiversity research using digitized, internet-based natural history collections
17 Dec 2019 | Teaching Materials | Contributor(s):
By Kaitlin Stack Whitney
Rochester Institute of Technology
Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the...
An Introduction to Biodiversity Databases and Specimen Images
04 Dec 2019 | Teaching Materials | Contributor(s):
By Amanda Fisher
Long Beach State University
In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
Neochromosomes: Creating transcriptional units with yeast Golden Gate assembly
29 Oct 2019 | Teaching Materials | Contributor(s):
By Eric Cooper
This resource is a series of protocols using the yeast Golden Gate (yGG) method as developed by Neta Agmon and Leslie Mitchell in Jef Boeke’s lab to assemble a functional yeast gene with...
28 Oct 2019 | Teaching Materials | Contributor(s):
A Curious Display
By Margaret Waterman1, Brandon Call, Sandi Connelly2, Kristin Jenkins3, Sam Catherine Johnston4, Vedham Karpakakunjaram5, Viet Le6, Hayley Orndorf7, Melissa Skyer8, Barbara Spiecker9
1. Southeast Missouri State University 2. Rochester Institute Of Technology 3. BioQUEST 4. CAST Inc. 5. Montgomery College 6. Rochester Institute of Technology 7. University of Pittsburgh 8. National Technical Institute for the Deaf at Rochester Institute of Technology 9. Oregon State University
Case study on genetically modified organisms
Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data
30 Sep 2019 | Teaching Materials | Contributor(s):
This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19
Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network
Using Synthetic Biology to Teach Data Science
30 Jul 2019 | Teaching Materials | Contributor(s):
By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1
College of William and Mary
Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.
Examining human impacts on tusk evolution in elephants using authentic research data using Serenity
13 Jul 2019 | Teaching Materials | Contributor(s):
By Kaitlin Bonner
St. John Fisher College
In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
26 Jun 2019 | Teaching Materials | Contributor(s):
Abstract for poster on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.