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  1. Using Synthetic Biology to Teach Data Science

    Using Synthetic Biology to Teach Data Science

    2019-08-05 16:09:12 | Teaching Materials | Contributor(s): Margaret S Saha, Beteel Abu-Ageel, Sanjana Challa, Xiangyi Fang, Chai Hibbert, Anna Isler, Elias Nafziger, Adam Oliver, Hanqiu Peng, Julia Urban, Vivian Zhu | doi:10.25334/B01R-P620

    Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.

  2. Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach

    Bioinformatics: Investigating Sequence Similarity - A Plant Biology Approach

    2019-05-29 18:10:28 | Teaching Materials | Contributor(s): Ami Erickson | doi:10.25334/Q4H458

    This laboratory module is a modification of the original published on CourseSource with a focus on plant biology. In the final activity, students conduct a BLAST to compare histone protein sequences between Arabidopsis, moss and yeast.

  3. Sequence Similarity Resource Adaptation: Exploring Ebola Virus

    Sequence Similarity Resource Adaptation: Exploring Ebola Virus

    2019-05-16 20:29:12 | Teaching Materials | Contributor(s): William Tapprich | doi:10.25334/Q47X63

    This adaptation of the sequence similarity resource provides biology students with a basic set of bioinformatics concepts and tools. These concepts and tools are used to explore relationships between Ebola virus strains.

  4. Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses

    Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence alignment in introductory undergraduate biology courses

    2019-05-02 18:42:15 | Teaching Materials | Contributor(s): Adam Kleinschmit, Benita Brink, Steven Roof, Carlos Christopher Goller, Sabrina Robertson | doi:10.25334/Q4G45Z

    This laboratory module, published on CourseSource, leads introductory biology students in the exploration of a basic set of bioinformatics concepts and tools.

  5. Quantifying and Visualizing Campus Tree Phenology

    Quantifying and Visualizing Campus Tree Phenology

    2019-04-18 17:59:23 | Teaching Materials | Contributor(s): Nate Emery, Caleb Trujillo, Andrew Jarosz, Tammy M Long

    This lesson, published on CourseSource, enables collaborative teams to collect, quantify, and analyze observable seasonal changes in nature.

  6. Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans

    Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans

    2019-01-04 18:35:37 | Teaching Materials | Contributor(s): Adam Idica, Jordan Thompson, Irene Munk Pedersen, Pavan Kadandale | doi:10.25334/Q4XM9B

    In this lesson, we describe an easily adaptable lab module that can be used in existing undergraduate molecular biology lab courses to conduct authentic scientific research, published in CourseSource

  7. Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes

    Using computational molecular modeling software to demonstrate how DNA mutations cause phenotypes

    2019-01-04 18:22:30 | Teaching Materials | Contributor(s): Tara Phelps-Durr | doi:10.25334/Q42F1T

    This lesson is a five-week series of laboratory activities designed to help students transition from applying lower order thinking skills to the central dogma to applying higher-order thinking skills.

  8. Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    2019-01-04 18:09:41 | Teaching Materials | Contributor(s): Mark Phillip Peterson, Jacob T Malloy, Vincent P Buonaccorsi, James H Marden | doi:10.25334/Q4643Q

    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 various classroom settings, published in...

  9. Making toast: Using analogies to explore concepts in bioinformatics

    Making toast: Using analogies to explore concepts in bioinformatics

    2019-01-04 17:39:39 | Teaching Materials | Contributor(s): Kate L. Hertweck | doi:10.25334/Q4FM90

    Module using analogies to introduce students to genomics

  10. Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts

    Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts

    2019-01-04 17:14:21 | Teaching Materials | Contributor(s): Eric T. Holland, Greg Manley, Tamara Chiba, Rona Ramos, Simon Mochrie, Jennifer Frederick | doi:10.25334/Q4Q43C

    Lesson on what it means for biological processes to be Poissonian, published in CourseSource

  11. Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics approaches

    Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics approaches

    2019-01-04 16:37:59 | Teaching Materials | Contributor(s): Kelsey Metzger | doi:10.25334/Q4TT7Q

    In this four- part guided activity, students will learn about the structure and function of human autosomal and sex chromosomes, view and interpret gene maps, and gain familiarity with basic bioinformatics resources and data through use of the...

  12. A Hands-on Introduction to Hidden Markov Models

    A Hands-on Introduction to Hidden Markov Models

    2019-01-04 16:23:48 | Teaching Materials | Contributor(s): Tony Weisstein, Elena Gracheva, Zane Goodwin, Zongtai Qi, Wilson Leung, Christopher D. Shaffer, Sarah C.R. Elgin | doi:10.25334/Q4ZM88

    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.

  13. Exploration of the Human Genome by Investigation of Personalized SNPs

    Exploration of the Human Genome by Investigation of Personalized SNPs

    2019-01-03 17:06:42 | Teaching Materials | Contributor(s): Lani C. Keller | doi:10.25334/Q4S15Q

    To increase students' interest in their own genomes, this computer-based laboratory lesson is designed to be coupled with the opportunity for the students to be genotyped by the consumer sequencing company, 23andMe. Published in CourseSource