Analysis of polynucleotide sequences for Fuzzy Genomes: A Juxtaposition of Two Fuzzy approaches

Teh Raihana Nazirah Roslan, Mohd. Salmi Md. Noorani

Research output: Contribution to journalArticle

Abstract

The Human Genome Project is the resplendence of the bioinformatics field, especially in health and medicine. It involves research regarding complete nucleotide sequences of the deoxyribonucleic acid (DNA) in human's chromosome. The primary structure of DNA and ribonucleic acid (RNA) consist of nucleotide construction which became polynucleotide when combined. In reality, genetic research field requires huge biological data, and most of the data are vague with various characteristics. Most of them are incomplete and complex from evolutional, functional, adaptability and other traits. The theory of fuzzy sets and fuzzy logic offers modelling methods in uncertainties and various computational techniques for decision making. This research aims to find similarity, difference, equality and identity between polynucleotide sequences using the concept of fuzzy metric space and fuzzy set theory. The Sadegh-Zadeh fuzzy polynucleotide space (RSZ) is being compared with the Torres and Nieto fuzzy polynucleotide space (RTN) in search of the best approach to analyse polynucleotide sequences. Research methods involve data collection of complete genome sequences for homologous species pairs, construction of the RSZ and RTN models, and data analysis. Outputs from RSZ and RTN are then compared with outputs from the Basic Local Alignment Search Tool (BLAST) for validation purposes from the bioinformatics field. Results show that outputs from both approaches are against each other, and RTN executes outputs that are nearest to the outputs from BLAST. Thus, RTN is the best fuzzy approach to compare complete genome sequences for species pairs.

Original languageEnglish
Pages (from-to)670-675
Number of pages6
JournalJournal of Social Sciences Research
Volume2018
Issue numberSpecial Issue 6
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

genetic research
set theory
model analysis
logic
research method
equality
data analysis
medicine
uncertainty
decision making
health
Juxtaposition
Genome
Fuzzy
Bioinformatics
Fuzzy Sets
Alignment

Keywords

  • Bioinformatics
  • Fuzzy genomes
  • Fuzzy metric space
  • Fuzzy set theory
  • Polynucleotide sequences

ASJC Scopus subject areas

  • Arts and Humanities(all)
  • Social Sciences(all)
  • Economics, Econometrics and Finance(all)

Cite this

Analysis of polynucleotide sequences for Fuzzy Genomes : A Juxtaposition of Two Fuzzy approaches. / Roslan, Teh Raihana Nazirah; Md. Noorani, Mohd. Salmi.

In: Journal of Social Sciences Research, Vol. 2018, No. Special Issue 6, 01.01.2018, p. 670-675.

Research output: Contribution to journalArticle

@article{812378fa2b3a48a7a930df1531d59df5,
title = "Analysis of polynucleotide sequences for Fuzzy Genomes: A Juxtaposition of Two Fuzzy approaches",
abstract = "The Human Genome Project is the resplendence of the bioinformatics field, especially in health and medicine. It involves research regarding complete nucleotide sequences of the deoxyribonucleic acid (DNA) in human's chromosome. The primary structure of DNA and ribonucleic acid (RNA) consist of nucleotide construction which became polynucleotide when combined. In reality, genetic research field requires huge biological data, and most of the data are vague with various characteristics. Most of them are incomplete and complex from evolutional, functional, adaptability and other traits. The theory of fuzzy sets and fuzzy logic offers modelling methods in uncertainties and various computational techniques for decision making. This research aims to find similarity, difference, equality and identity between polynucleotide sequences using the concept of fuzzy metric space and fuzzy set theory. The Sadegh-Zadeh fuzzy polynucleotide space (RSZ) is being compared with the Torres and Nieto fuzzy polynucleotide space (RTN) in search of the best approach to analyse polynucleotide sequences. Research methods involve data collection of complete genome sequences for homologous species pairs, construction of the RSZ and RTN models, and data analysis. Outputs from RSZ and RTN are then compared with outputs from the Basic Local Alignment Search Tool (BLAST) for validation purposes from the bioinformatics field. Results show that outputs from both approaches are against each other, and RTN executes outputs that are nearest to the outputs from BLAST. Thus, RTN is the best fuzzy approach to compare complete genome sequences for species pairs.",
keywords = "Bioinformatics, Fuzzy genomes, Fuzzy metric space, Fuzzy set theory, Polynucleotide sequences",
author = "Roslan, {Teh Raihana Nazirah} and {Md. Noorani}, {Mohd. Salmi}",
year = "2018",
month = "1",
day = "1",
doi = "10.32861/jssr.spi6.670.675",
language = "English",
volume = "2018",
pages = "670--675",
journal = "Journal of Social Sciences Research",
issn = "2413-6670",
publisher = "Academic Research Publishing Group",
number = "Special Issue 6",

}

TY - JOUR

T1 - Analysis of polynucleotide sequences for Fuzzy Genomes

T2 - A Juxtaposition of Two Fuzzy approaches

AU - Roslan, Teh Raihana Nazirah

AU - Md. Noorani, Mohd. Salmi

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The Human Genome Project is the resplendence of the bioinformatics field, especially in health and medicine. It involves research regarding complete nucleotide sequences of the deoxyribonucleic acid (DNA) in human's chromosome. The primary structure of DNA and ribonucleic acid (RNA) consist of nucleotide construction which became polynucleotide when combined. In reality, genetic research field requires huge biological data, and most of the data are vague with various characteristics. Most of them are incomplete and complex from evolutional, functional, adaptability and other traits. The theory of fuzzy sets and fuzzy logic offers modelling methods in uncertainties and various computational techniques for decision making. This research aims to find similarity, difference, equality and identity between polynucleotide sequences using the concept of fuzzy metric space and fuzzy set theory. The Sadegh-Zadeh fuzzy polynucleotide space (RSZ) is being compared with the Torres and Nieto fuzzy polynucleotide space (RTN) in search of the best approach to analyse polynucleotide sequences. Research methods involve data collection of complete genome sequences for homologous species pairs, construction of the RSZ and RTN models, and data analysis. Outputs from RSZ and RTN are then compared with outputs from the Basic Local Alignment Search Tool (BLAST) for validation purposes from the bioinformatics field. Results show that outputs from both approaches are against each other, and RTN executes outputs that are nearest to the outputs from BLAST. Thus, RTN is the best fuzzy approach to compare complete genome sequences for species pairs.

AB - The Human Genome Project is the resplendence of the bioinformatics field, especially in health and medicine. It involves research regarding complete nucleotide sequences of the deoxyribonucleic acid (DNA) in human's chromosome. The primary structure of DNA and ribonucleic acid (RNA) consist of nucleotide construction which became polynucleotide when combined. In reality, genetic research field requires huge biological data, and most of the data are vague with various characteristics. Most of them are incomplete and complex from evolutional, functional, adaptability and other traits. The theory of fuzzy sets and fuzzy logic offers modelling methods in uncertainties and various computational techniques for decision making. This research aims to find similarity, difference, equality and identity between polynucleotide sequences using the concept of fuzzy metric space and fuzzy set theory. The Sadegh-Zadeh fuzzy polynucleotide space (RSZ) is being compared with the Torres and Nieto fuzzy polynucleotide space (RTN) in search of the best approach to analyse polynucleotide sequences. Research methods involve data collection of complete genome sequences for homologous species pairs, construction of the RSZ and RTN models, and data analysis. Outputs from RSZ and RTN are then compared with outputs from the Basic Local Alignment Search Tool (BLAST) for validation purposes from the bioinformatics field. Results show that outputs from both approaches are against each other, and RTN executes outputs that are nearest to the outputs from BLAST. Thus, RTN is the best fuzzy approach to compare complete genome sequences for species pairs.

KW - Bioinformatics

KW - Fuzzy genomes

KW - Fuzzy metric space

KW - Fuzzy set theory

KW - Polynucleotide sequences

UR - http://www.scopus.com/inward/record.url?scp=85071700136&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071700136&partnerID=8YFLogxK

U2 - 10.32861/jssr.spi6.670.675

DO - 10.32861/jssr.spi6.670.675

M3 - Article

AN - SCOPUS:85071700136

VL - 2018

SP - 670

EP - 675

JO - Journal of Social Sciences Research

JF - Journal of Social Sciences Research

SN - 2413-6670

IS - Special Issue 6

ER -