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Sequence Similarity: An inquiry based and "under the hood" approach for incorporating molecular sequence...Learning ObjectivesAt the end of this lesson, students will be able to:
- Define similarity in a non-biological and biological sense when provided with two strings of letters.
- Quantify the similarity between two gene/protein sequences.
- Explain how a substitution matrix is used to quantify similarity.
- Calculate amino acid similarity scores using a scoring matrix.
- Demonstrate how to access genomic data (e.g., from NCBI nucleotide and protein databases).
- Demonstrate how to use bioinformatics tools to analyze genomic data (e.g., BLASTP), explain a simplified BLAST search algorithm including how similarity is used to perform a BLAST search, and how to evaluate the results of a BLAST search.
- Create a nearest-neighbor distance matrix.
- Create a multiple sequence alignment using a nearest-neighbor distance matrix and a phylogram based on similarity of amino acid sequences.
- Use appropriate bioinformatics sequence alignment tools to investigate a biological question.
Teaching Biodiversity with Museum Specimens in an Inquiry-Based LabLearning ObjectivesStudents completing this lab module will:
- Learn how to appropriately handle and measure museum specimens.
- Develop the necessary statistical skills to analyze museum specimen data.
- Become familiar with how to search an online museum database and integrate supplemental data with their own dataset.
- Strengthen scientific communication skills by presenting research to their peers.
- Demonstrate ability to investigate scientific questions and address obstacles that occur during data collection and integration.
- Increase proficiency in managing and using large datasets for scientific research.
- Make connections between natural history knowledge and morphology of organisms in developing and testing hypotheses.
Understanding Protein Domains: A Modular ApproachLearning Objectives
- Students will be able to compare protein sequences and identify conserved regions and putative domains.
- Students will be able to obtain, examine, and compare structural models of protein domains.
- Students will be able to interpret data on protein interactions (in vitro pull-down and in vitro and in vivo functional assays)
- Students will be able to propose experiments to test protein interactions.