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Computers in molecular biology: current applications and emerging trends
1Office of Health and Environmental Research, U.S. Department of Energy, Washington, DC 20545.
Science (New York, N.Y.)
|April 1, 1988
Summary
The explosion of molecular sequence data necessitates advanced computational tools in biology. High-speed analysis methods are crucial for understanding the links between nucleotide sequences and protein structure/function.
Area of Science:
- Computational Biology
- Bioinformatics
- Molecular Biology
Background:
- The generation of molecular sequence data is rapidly increasing.
- Current computational applications in molecular biology are primarily focused on data management and sequence comparisons.
Purpose of the Study:
- To highlight the growing need for advanced computational methods in molecular biology.
- To emphasize the pressure for developing high-speed analytical techniques.
Main Methods:
- Analysis of current trends in molecular sequence data generation.
- Review of existing computational tools in molecular biology.
Main Results:
- Computers are becoming indispensable in molecular biology due to data volume.
- Existing computational methods are insufficient for the scale of data.
Conclusions:
- There is a critical need for high-speed analytical methods.
- Deciphering the relationship between nucleotide sequence and protein structure/function requires advanced computational approaches.