Grade 11

Eye Color: Is Blue Really Blue?

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?

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Genetic Disorder Research

This lesson is a research activity on genetic disorders.  It emphasizes the use of Online Inheritance of Man (OMIM), as well as other genetic databases. The student will locate the gene or genes involved with a disorder, discuss symptoms, prevalence, and possible treatment and present this material to the class using Prezi (presentation tool). Read more about Genetic Disorder Research

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DNA Surveillance Unit: Is That an Endangered Whale You’re Eating?

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?

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Detecting a Transposon Tag in Arabidopsis

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

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Phylogenetic Trees, Part 1: Pairwise Alignment of Related DNA / Protein Sequences using the LCS Algorithm

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

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Bioinformatics Using Basic Genomics Sequences

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

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Bioinformatics in an Introductory Computer Programming Course

This lesson is designed to give a student in an introductory computer programming course an interesting, real-life application problem involving string manipulation and DNA sequencing. The programming assignment should be given after students had already been introduced to and required to use a variety of string functions. Read more about Bioinformatics in an Introductory Computer Programming Course

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Computation for DNA Fragment Assembly

This activity introduces students to the computation involved in reassembling sequenced DNA to reconstruct the original gene. The activity enhances a reading and activity from Professor Ann Condon of the University of British Columbia that discusses the genetics and programming concepts. This extends those activitities by including some actual Python programming exercises and examples. Read more about Computation for DNA Fragment Assembly

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Process Coding Sequences of Transcripts Lab

Students will complete a Java OOP program that consists of six classes which represent a Gene, a Transcript, and Dictionaries. The Dictionary classes can be used for DNA to RNA transcription and RNA to Protein translation. The Transcript class will contain methods to transcript a DNA coding sequence into an mRNA sequence and to translate an mRNA sequence into a protein. Read more about Process Coding Sequences of Transcripts Lab

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