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Math Skills in Biology Education: A Principles Focused Evaluation (PF-E) of Community College Faculty Needs
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2019-06-26 17:57:16 | Contributor(s): Sondra Marie LoRe, Stacey Kiser, Lisa A Corwin, Melissa Aikens, Jillian Marie Miller | doi:10.25334/SNXY-CB47
Poster on math skill instruction in community colleges presented at the 2019 BioQUEST & QUBES Summer Workshop
Predator-Prey Interactions: Selective foraging by wolf spiders
2019-06-20 19:24:35 | Contributor(s): Cindy Bennington | doi:10.25334/Q4VX6P
This interactive case study is intended for use in lower-division biology or ecology courses to complement the SimUText (SimBio) chapter entitled Predation, Herbivory and Parasitism.
Leaping Lemur Life History
2019-06-20 19:21:44 | Contributor(s): Cindy Bennington | doi:10.25334/Q4R75G
This interrupted case study is intended for use in lower-division biology or ecology courses to complement the SimUText (SimBio) Life History chapter. Students practice calculating life history parameters and interpreting life history data.
Sequence Similarity in Developmental Biology - A Bioinformatics Exercise Using Myostatin
2019-06-19 16:07:51 | Contributor(s): Barbara Murdoch | doi:10.25334/Q45F3H
This exercise leads upper level biology majors in an inquiry-based excursion to determine how similar the signaling molecule, myostatin, is between humans and mice, using a basic set of bioinformatics tools and concepts.
Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets
2019-06-12 18:36:07 | Contributor(s): Carlos Christopher Goller, Kaitlyn Casimo | doi:10.25334/Q4RB3R
The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data from the Allen Institute addresses this...
Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Recent Activities
2019-06-11 22:24:19 | Contributor(s): William Morgan | doi:10.25334/Q4J45K
Presentation on NIBLSE at the 2019 Great Lakes Bioinformatics Conference
2019-06-11 18:02:00 | Contributor(s): James Burton Deemy | doi:10.25334/Q4W462
In this exercise students work in groups to design an agroecosystem to feed a Mars Colony while accounting for space and energy transfer limitations.
2019-06-11 17:09:07 | Contributor(s): James Burton Deemy | doi:10.25334/Q40T8N
This is an exercise in island biogeography that allows students to reconstruct splits in the evolutionary history of several hypothetical frog species.
Adaptation of Investigating human impacts on stream ecology: locally and nationally
2019-06-11 01:43:26 | Contributor(s): Catherine Sughrue Etter | doi:10.25334/Q44J2V
TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
2019-06-07 20:09:22 | Contributor(s): Rachael St. Jacques, Max Maza, Sabrina Robertson, Guoqing Lu, Andrew Lonsdale, Ray A Enke | doi:10.25334/Q4D172
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.
Measuring Success for Collections: Educational Products and Outcomes
2019-06-07 16:40:52 | Contributor(s): Anna Monfils, Molly Phillips, Libby Ellwood, Debra Linton, Lisa White, Natalie Douglas, Shari Ellis, Sam S Donovan | doi:10.25334/Q4HT89
Presentation at the 34th Annual meeting of the Society for the Preservation of Natural History Collections
Answer Checking - Modified for Environmental Data Analysis/Statistics Course
2019-06-07 01:14:01 | Contributor(s): Jennifer Prairie | doi:10.25334/Q4NJ14
Modified answer checking worksheet from original BIOMAAP resource to include two additional questions relating to probability/P-values.
Figure of the Week: Environmental Data Analysis/Statistics Version
2019-06-07 01:05:24 | Contributor(s): Jennifer Prairie | doi:10.25334/Q4SB4F
Adaptation of Figure of the Day activity used on a weekly basis in an environmental data analysis/statistics course.
Growth Mindset Prompt
2019-06-07 00:50:54 | Contributor(s): Arietta Fleming-Davies, Jennifer Prairie | doi:10.25334/Q4X16B
Before giving an introduction to growth mindset, these prompts can be given to students so they can brainstorm activities they associate with long hours of practice (growth mindset) vs. natural talent (fixed mindset). Developed by Arietta Fleming-Davies.
Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
2019-06-06 19:44:39 | Contributor(s): Wendy Clement, Kathleen Prudic, Jeffrey Oliver | doi:10.25334/Q41T9B
This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of climate change on butterfly-host plant interactions.
Expanding Undergraduate Participation in Computational Biology: Resources and Lessons Learned from a Hands-on Workshop
2019-06-05 04:12:45 | Contributor(s): Layla Oesper | doi:10.25334/Q46J13
Presentation on computational biology in undergraduate education at the 2019 Great Lakes Bioinformatics Conference
Spatial Justice, Marginal Populations, and Data Integrity
2019-06-04 20:22:29 | Contributor(s): Melinda Laituri | doi:10.25334/Q4B75R
Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part of participatory practices to collect community data.
2019-06-03 17:53:23 | Contributor(s): Lisa Dierker | doi:10.25334/Q4MQ9K
E-book in .pdf format and customizable .iba format
Investigating Primary Productivity
2019-06-03 17:10:27 | Contributor(s): Heather Olins | doi:10.25334/Q42X7X
In this 3-part investigation, students discuss, make predictions, and work with data about global scale net primary productivity.
The ml4bio Workshop: Machine Learning Literacy for Biologists
2019-06-03 02:59:00 | Contributor(s): Fangzhou Mu, Chris Magnano, Debora Treu, Anthony Gitter | doi:10.25334/Q44Q97
Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference
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