After reading a case study about a child with a disease, students search OMIM, use the NSBI Map Viewer, and work with 10K Microarray data to identify a disease and find the gene that’s causing it. SNPs and Microarrays are explained in the activity. Read more about Medical Problem Solving, Case 1: A Genetic Link to Anemia
3.7D Utilize and evaluate computer software to solve specific problems.
In a case study-based context, students use microarray data and Chi-square analysis to determine the SNP that is likely causing the condition. Students then determine the identity of the mutated gene, as well as the function of the normal gene and the type of mutation that causes the syndrome. Read more about Medical Problem Solving, Case 3: Pretzel Syndrome
In order to better understand DNA fingerprinting and its real world applications, students will use a real genomic site, DNA Surveillance, based in New Zealand, to test whale samples against a standard database. This is done to monitor the sale of protected whale species in Japanese fish markets. Read more about DNA Surveillance Unit: Is That an Endangered Whale You’re Eating?
This lab - produced by the DNA Learning Center and available at http://www.greenomes.org/ - allows students to investigate a gene in Arabidopsis to analyze the molecular relationship between genotyes and phenotypes. It also helps them understand the use of transposable elements to mutagenize and tag genes as well as the role of homeotic genes i Read more about Detecting a Transposon Tag in Arabidopsis
Students will become familiar with proteomic databases and how they can be used to determine the identity of an unknown protein using laboratory data files created from yeast proteins. Read more about Proteomics: Protein Identification Using On-Line Databases
This lesson is the 1st in a unit on constructing Phylogenetic Trees from DNA or Protein Sequences. Students build an Excel spreadsheet to model the simplest implementation of the LCS (Longest Common Subsequence) algorithm in order to calculate the degree of homology between 2 sequences. Read more about Phylogenetic Trees, Part 1: Pairwise Alignment of Related DNA / Protein Sequences using the LCS Algorithm
This activity will familiarize high school students on the importance of computational biology in today's world. By writing computer programs that use genomics sequence analysis, the student will have a better understanding of molecular biology and how the vast amount of data that is provided in multiple on-line databases can be simplified by a few lines of code. Read more about Bioinformatics Using Basic Genomics Sequences
Students will use the GridWorld case study to create BloodCritters that extend the Critter class. These BloodCritters will have two alleles for their blood types and will be able to reproduce, randomly giving their children one allele each. These two alleles will determine the child's blood type. The color of each critter will be determined based on the blood type. Read more about Blood Critters in GridWorld
Students will write a Java program to read a DNA sequence from either the keyboard or a text file. Then they will display the protein sequence that is produced. Students will simulate the mutation of a single location in the DNA sequence to determine the effects of that mutation. Finally, students will look for the locations of a specific DNA sequence. Read more about Decoding a DNA Sequence with Java
Students will write a Microsoft Basic computer program that can be used to determine the possible blood types a child could have based on their parents blood types. Read more about Genetic Blood Types