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Inference of order in genetic systems
1Jackson Laboratory, Bar Harbor, Maine 04609-1500, USA.
Proceedings. International Conference on Intelligent Systems for Molecular Biology
|January 1, 1993
Summary
Intelligent systems can aid locus mapping research by automating ordering processes and managing uncertain data. Further work is needed to develop robust database structures and reasoning for complex ordering challenges.
Area of Science:
- Computer Science
- Geospatial Information Science
- Artificial Intelligence
Background:
- Locus mapping research requires sophisticated computational support.
- Existing intelligent systems face challenges in handling complex data ordering and uncertainty.
Purpose of the Study:
- To survey and discuss the requirements for intelligent systems in locus mapping research.
- To focus on automating reasoning processes for ordering and database structures.
Main Methods:
- Literature review and conceptual analysis of intelligent systems for locus mapping.
- Discussion of challenges in automated reasoning for ordering and data management.
Main Results:
- Identified key issues in supporting locus mapping research with intelligent systems.
- Highlighted the need for robust database structures capable of handling ambiguity and uncertainty.
Conclusions:
- Intelligent systems require advanced capabilities for automated reasoning in ordering.
- Further research and development are necessary to address the complexities of locus mapping data.