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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.
Differential Gene Expression during Xenopus laevis DevelopmentLearning ObjectivesStudents will be able to:
- identify different stages of Xenopus development
- contrast the strengths and limitations of the Xenopus model organism
- explain the process and purpose of in situ hybridization
- compare gene expression patterns from different germ layers or organ domains
- compare gene expression patterns from different developmental stages
Antibiotic Resistance Genes Detection in Environmental SamplesLearning ObjectivesAfter completing this laboratory series, students will be able to:
- apply the scientific method in formulating a hypothesis, designing a controlled experiment using appropriate molecular biology techniques, and analyzing experimental results;
- conduct a molecular biology experiment and explain the principles behind methodologies, such as accurate use of micropipettes, PCR (polymerase chain reaction), and gel electrophoresis;
- determine the presence of antibiotic-resistance genes in environmental samples by analyzing PCR products using gel electrophoresis;
- explain mechanisms of microbial antibiotic resistance;
- contribute data to the Antibiotic Resistance Genes Network;
- define and apply key concepts of antibiotic resistance and gene identification via PCR fragment size.
A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research ExperienceLearning Objectives
- Students will be able to evaluate the strengths and weaknesses of data.
- Students will be able to employ prior knowledge in formulating a biological research question or hypothesis.
- Students will be able to distinguish a research question from a testable hypothesis.
- Students will recognize that the following are essential elements in experimental design: identifying gaps in prior knowledge, picking an appropriate approach (ex. experimental tools and controls) for testing a hypothesis, and reproducibility and repeatability.
- Students will be able to identify appropriate experimental tools, approaches and controls to use in testing a hypothesis.
- Students will be able to accurately explain why an experimental approach they have selected is a good choice for testing a particular hypothesis.
- Students will be able to discuss whether experimental outcomes support or fail to support a particular hypothesis, and in the case of the latter, discuss possible reasons why.
An undergraduate bioinformatics curriculum that teaches eukaryotic gene structureLearning ObjectivesModule 1
- Demonstrate basic skills in using the UCSC Genome Browser to navigate to a genomic region and to control the display settings for different evidence tracks.
- Explain the relationships among DNA, pre-mRNA, mRNA, and protein.
- Describe how a primary transcript (pre-mRNA) can be synthesized using a DNA molecule as the template.
- Explain the importance of the 5' and 3' regions of the gene for initiation and termination of transcription by RNA polymerase II.
- Identify the beginning and the end of a transcript using the capabilities of the genome browser.
- Explain how the primary transcript generated by RNA polymerase II is processed to become a mature mRNA, using the sequence signals identified in Module 2.
- Use the genome browser to analyze the relationships among:
- 5' capping
- 3' polyadenylation
- Identify splice donor and acceptor sites that are best supported by RNA-Seq data and TopHat splice junction predictions.
- Utilize the canonical splice donor and splice acceptor sequences to identify intron-exon boundaries.
- Determine the codons for specific amino acids and identify reading frames by examining the Base Position track in the genome browser.
- Assemble exons to maintain the open reading frame (ORF) for a given gene.
- Define the phases of the splice donor and acceptor sites and describe how they impact the maintenance of the ORF.
- Identify the start and stop codons of an assembled ORF.
- Demonstrate how alternative splicing of a gene can lead to different mRNAs.
- Show how alternative splicing can lead to the production of different polypeptides and result in drastic changes in phenotype.
A CURE-based approach to teaching genomics using mitochondrial genomesLearning Objectives
- Install the appropriate programs such as Putty and WinSCP.
- Navigate NCBI's website including their different BLAST programs (e.g., blastn, tblastx, blastp and blastx)
- Use command-line BLAST to identify mitochondrial contigs within a whole genome assembly
- Filter the desired sequence (using grep) and move the assembled mitochondrial genome onto your own computer (using FTP or SCP)
- Error-correct contigs (bwa mem, samtools tview), connect and circularize organellar contigs (extending from filtered reads)
- Transform assembled sequences into annotated genomes
- Orient to canonical start locations in the mitochondrial genome (cox1)
- Identify the boundaries of all coding components of the mitochondrial genome using BLAST, including: Protein coding genes (BLASTx and tBLASTX), tRNAs (proprietary programs such as tRNAscan), rRNAs (BLASTn, Chlorobox), ORFs (NCBI's ORFFinder)
- Deposit annotation onto genome repository (NCBI)
- Update CV/resume to reflect bioinformatics skills learned in this lesson
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.