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



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

Example: Analysis of repetitive DNA


Resources and References

See above


Future Directions

We expect to search for more problem instances.