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Molecular Databases pt. 2

Molecular Databases pt. 2. Goals: a student and teacher friendly database that is set up for straightforward inquiry A site containing lots of support information and links without getting lost A credible source of information (sticky portal). Vector.cshl.org.

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Molecular Databases pt. 2

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  1. Molecular Databases pt. 2 • Goals: a student and teacher friendly database that is set up for straightforward inquiry • A site containing lots of support information and links without getting lost • A credible source of information (sticky portal)

  2. Vector.cshl.org • Developed by the DNA learning Center at Cold Springs Harbor • Contains many great sites Great animation links!! Great tutorials!!

  3. Use BioServer links to conduct genetic analysis. http://vector.cshl.org/bioserver/

  4. In-class comparisons • Student 1 x student 2= 16 • Student 1 x student 3 = 20 • Student 2 x student 3 = 19 Student 1 vs. student 2: 16 differences/426 base pairs

  5. Developing Testable Hypotheses • Predictions about in-class differences vs actual differences • Within class/between class differences • Your class vs. populations from around the world • Does the timeline of prehistoric DNA explain the differences, or is it genetic drift?

  6. Using the Allele Server • Testing for HW Equilibrium • More possibilities in the sequence server http://vector.cshl.org/html/sad/sad.html

  7. Conducting experiments • Set up some sample investigations • Get them to design their own • How much data is enough data? • Check out the allele server for Hardy Weinberg analysis • Check out the simulator server for a very cool migration simulation of the UV radiation/melanin hypothesis

  8. Advanced Experiments • Recent literature challenges the out of Africa model based on a population cluster in Australia that is very close to the Neandertal pattern. • Is this evidence for simultaneous evolution of Homo sapien or is it due to genetic drift? • You can test this data using the simulation server

  9. Beware!! • Beware of small data sets and premature conclusions! • Beware the monkey boy problem! • Always consider the need for more data and alternative explanations!

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