Utilization of sequence libraries on a 16-bit mini computer with particular reference to high speed searching

Area of Science:

• Bioinformatics
• Computational Biology
• Sequence Analysis

Background:

• Limited computational resources (mini computers) pose challenges for large-scale sequence database analysis.
• Existing methods may not be optimized for resource-constrained environments.

Purpose of the Study:

• To develop an efficient, transportable software system for analyzing nucleotide and amino acid sequences.
• To enable rapid comparison of sequences against comprehensive libraries using a novel statistical approach.

Main Methods:

• Developed an interactive, menu-driven system in Fortran for sequence library utilization.
• Created secondary databases of nucleotide triplet values (4^3 classes).
• Implemented a comparison method using trinucleotide values and a quasi correlation coefficient (Qr).

Main Results:

• The system runs on small 16-bit mini computers with limited memory and storage.
• Software is designed for transportability to microcomputers with minimal modifications.
• Sequence comparison against libraries takes approximately forty minutes on a PDP 11/10.

Conclusions:

• The developed system provides an efficient solution for sequence comparison in resource-limited settings.
• The quasi correlation coefficient (Qr) offers a viable statistical measure for sequence similarity.
• This approach enhances the utility of sequence databases for computational biology research.