Residue Number System (RNS) Di-base Table for SOLiD Sequencing

International Journal of Computer Science and Engineering

© 2024 by SSRG - IJCSE Journal

Volume 11 Issue 7

Year of Publication : 2024

Authors : Joshua Apigagua Akanbasiam, Kwame Osei Boateng

10.14445/23488387/IJCSE-V11I7P105

How to Cite?

Joshua Apigagua Akanbasiam, Kwame Osei Boateng, "Residue Number System (RNS) Di-base Table for SOLiD Sequencing," SSRG International Journal of Computer Science and Engineering , vol. 11,  no. 7, pp. 28-32, 2024. Crossref, https://doi.org/10.14445/23488387/IJCSE-V11I7P105

Abstract:

A two-moduli set Residue Number System (RNS) di-base is designed using a grid approach. The grid approach allows for flexibility in the choice of digit-base substitution in generating the di-base table. The entire design is flexible, answers the quest for a quaternary number system for molecular biological considerations, and is also well structured over the entire residue number system space. The initial approach of giving digital connotations to the di-base table is designed in the well-known binary system - which is the most considered number system for contemporary digital applications. This approach is static and also not well structured over the entire binary number system space. RNS has emerged lately as a number system that has numerous advantages over traditional number systems including fast processing, reduced power consumption, and increased resistance to errors. Any set of two (2) moduli RNS can generate the di-base table for SOLiD sequencing. This design is similar to the canonical di-base table designed by Applied Biosystems Instruments (ABI) for SOLiD sequencing. Thus, the design presents similar moduli digits for each cell given any set of moduli but different decimal values. It also suits the quest for a quaternary number system for molecular biological or bioinformatics considerations – since the number of known nitrogenous bases is four (4).

Keywords:

Residue Number System, di-base table, RNS di-base table, Sanger sequencing, Next Generation Sequencing, SOLiD Sequencing.

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