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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.
Meiosis: A Play in Three Acts, Starring DNA SequenceLearning Objectives
- Students will be able to identify sister chromatids and homologous chromosomes at different stages of meiosis.
- Students will be able to identify haploid and diploid cells, whether or not the chromosomes are replicated.
- Students will be able to explain why homologous chromosomes must pair during meiosis.
- Students will be able to relate DNA sequence similarity to chromosomal structures.
- Students will be able to identify crossing over as the key to proper pairing of homologous chromosomes during meiosis.
- Students will be able to predict the outcomes of meiosis for a particular individual or cell.