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Protein sequence comparisons: searching databases and aligning sequences

R F Doolittle¹

¹Department of Chemistry, University of California, San Diego, La Jolla 92093-0634.

Current Opinion in Biotechnology

|February 1, 1994

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Sequence databases are growing rapidly, requiring new strategies for data analysis. Advances in microcomputers and scoring methods enhance the sensitivity and accuracy of sequence alignment tools.

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

The exponential growth of biological sequence databases presents challenges for data retrieval and analysis.
Investigational tools and strategies must adapt to evolving database content and size.

Purpose of the Study:

To highlight the impact of microcomputer advancements on biological data analysis.
To discuss the evolution of sequence database searching strategies.
To introduce new scoring schemes for improved sequence alignment.

Main Methods:

Utilizing advanced microcomputer performance for sophisticated data analysis.
Implementing novel scoring schemes in sequence searching algorithms.
Evaluating the sensitivity and accuracy of alignment techniques.

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Main Results:

Microcomputers now provide accessible, powerful tools for researchers.
New scoring schemes have demonstrably improved search sensitivity.
Alignment accuracy has been significantly enhanced by updated methodologies.

Conclusions:

The integration of improved hardware and algorithms is crucial for effective sequence database utilization.
Researchers can leverage enhanced computational tools for more precise biological sequence analysis.
Adapting search strategies is key to navigating large-scale genomic data.