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- (-) Remove Introductory Biology filter Introductory Biology
- (-) Remove Create a diagram, drawing, figure, etc. filter Create a diagram, drawing, figure, etc.
- (-) Remove Introductory filter Introductory
- (-) Remove Ability to use quantitative reasoning filter Ability to use quantitative reasoning
- (-) Remove Information flow, exchange and storage filter Information flow, exchange and storage
Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Introductory Biology (identifying...Learning Objectives
- Describe how cells can produce proteins at the right time and correct amount.
- Diagram how a repressor works to reduce transcription.
- Diagram how an activator works to increase transcription.
- Identify a new promoter from literature and design a method to clone it and test its function.
- Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments.
- Design an experiment to verify a new promoter has been cloned into a destination vector.
- Design an experiment to measure the strength of a promoter.
- Analyze data showing reporter protein produced and use the data to assess promoter strength.
- Define type IIs restriction enzymes.
- Distinguish between type II and type IIs restriction enzymes.
- Explain how Golden Gate Assembly (GGA) works.
- Measure the relative strength of a promoter compared to a standard promoter.
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.