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
The webquest uses the same story and data as Case 1, but differs in approach. Students take on the roles of a doctor and a geneticist at The Clinic for Special Children. Together, they follow the steps of the webquest to diagnose and treat a young boy. Read more about Medical Problem Solving Webquest
This activity is focused around a case study. Students use various data tools and data sets (including OMIM, pedigree analysis, 10K Microarray / SNP data and the Genome browser) to identify candidate genes. After locating the gene, students use BLAST and BLAT to learn more about the type of mutation and normal function of the gene. Read more about Medical Problem Solving, Case 2: What is the Cause of the Seizures?
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
What determines eye color? After learning about different models of how eye color is determined, students will examine phenotypes from 16 subjects and predict if they have B (blue) or non-blue HERC2 gene. Next they will analyze PCR light cycler data and see if that matches their predictions. Read more about Eye Color: Is Blue Really Blue?
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