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Characteristics of Good
Problems in Bioinformatics
 
 
Authors          Audiences          Overview           Materials          Resources           Future Directions
 

 


Authors

Jim Youngblom
Cal State University, Stanislaus
Sami Khuri
San Jose State University
John Avila
San Jose State University
 
   
 


Possible Audiences:

Teachers of bioinformatics

 
 


Brief Overview

We've outlined some of the characteristics of good problems for use in bioinformatics classes. These are:

1. Quantitative component

The solution to the problem must be associated with quantitative data

2. Accessible

The student must be able to understand the biological problem.
Data must be available that can be accessed by students

3. Multi-level

The solution to the problem should involve elements from genome to protein to protein structure.

4. Multiple tools should be available for the analysis/solution

5. The problem should invite multiple hypotheses

6. Open-ended

Questions should lead to other questions

7. (Optional) Literature availability

Papers should be available to allow further research by students or teachers.

 
   
 


Project Materials

Example: HIV problem
Background material: CD4, T-cells
Data is available
Analysis can vary from the genome to amino-acid sequence Invites multiple hypotheses

Example: Analysis of Human pseudogenes
http://genomics.wheatoncollege.edu/

Example: Analysis of repetitive DNA
http://bioinfo.mbb.yale.edu/census/

 
 


Resources and References

See above

 
   
 


Future Directions

We expect to search for more problem instances.