This project was prepared as part of a BioQUEST faculty development workshop entitled Bioinformatics in Biology Education: Working with Sequence, Structure and Function at Oklahoma City Community College in January 2005. The BioQUEST Curriculum Consortium is committed to the reform of undergraduate biology instruction through an emphasis on engaging students in realistic scientific practices. This approach is sometimes characterized as an inquiry driven approach and is captured in BioQUEST's three P's (problem-posing, problem-solving, and peer-persuasion). As part of this workshop groups of faculty were encouraged to initiate innovative curricular projects. We are sharing these works in progress in the hope that they will stimulate further exploration, collaboration and development. Please see the following links for additional information:

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A bioinformatics simulation of a mutant workup from a model genetic organism
 
 
Authors          Audiences          Overview           Materials          Resources           Future Directions
 

 


Authors


Christopher Harendza
Montgomery County Community College

 
   
 


Possible Audiences:

Sophomore students in a general genetics class IMPORTANT NOTE: Unfortunately (for them!!), no members seemed interested in this project. Also, my time is limited and so the idea is here, but there is not much in the way of example. I was chomping at the bit with this one and so I went ahead. Unfortunately no one joined in. It suffers from the lack of group participation.  

 
 


Brief Overview:

Students are losing the appreciation for the power of traditional “forward genetic” approaches and a situation is arising where most everything is mass “stare and compare” informatics and reverse genetics While the new approaches are very powerful, full scale mutant screens have and should continue to be important.  

 
   
 


Project Materials:

Virtual Fly, Biology workbench, OMIM and Other bioinformatics tools  

 
 


Resources and References:

None  

 
   
 


Future Directions:

More help, more time, specific examples  

 
 


Attachments


- Harendza_Bioinformatics_mutant_workup.ppt