Graphs Associated With DNA Rearrangements and Their Polynomials

Brijder, Robert; Hoogeboom, Hendrik Jan; Jonoska, Nataša; Saito, Masahico

doi:10.1016/b978-0-12-814066-6.00003-9

Cited by 2 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The total number of molecules that are produced as well as any intermediate molecules can be tallied as terms in graph polynomials, which are closely connected to the well-known Tutte polynomial. [19] Not everyone is aware of the underlying computational methodologies given the pervasiveness of nextgeneration sequencing in contemporary biological, genetic, pharmacological, and medical research. Even fewer scientists are aware of the history of the models used today to describe DNA assembly.…”

Section: Literature Reviewmentioning

confidence: 99%

Computational Modelling: A Study of Different DNA Sequencing Using DNA Graphs

Gomathy¹,

T²

2023

IJSREM

View full text Add to dashboard Cite

Natural genetic material may help identify genetic abnormalities and provide insight into the workings of gene expression systems. Disorders associated with chromosomal abnormalities include single nucleotide polymorphisms (SNPs), minor insertions and deletions, and significant chromosomal aberrations. In order to analyse DNA sequences, one of the most important components of biological study, various techniques have been used. Thus, DNA analysis and computing have benefited greatly from a variety of mathematical and algorithmic advances. Sequencing systems are constructed on a quantitative framework, and their workings include cost minimization, deployment, and sensitivity analysis for various parameters. In order to analyse various diseases using DNA, this study will look into the role of DNA sequencing and how it is represented in graphs. Keywords: DNA graphs; DNA sequencing; DNA library; genetic diseases; graph theory

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Computational Modelling: A Study of Different DNA Sequencing Using DNA Graphs

Gomathy¹,

T²

2023

IJSREM

View full text Add to dashboard Cite

show abstract

Different DNA Sequencing Using DNA Graphs: A Study

et al. 2022

View full text Add to dashboard Cite

Natural genetic material may shed light on gene expression mechanisms and aid in the detection of genetic disorders. Single Nucleotide Polymorphism (SNP), small insertions and deletions (indels), and major chromosomal anomalies are all chromosomal abnormality-related disorders. As a result, several methods have been applied to analyze DNA sequences, which constitutes one of the most critical aspects of biological research. Thus, numerous mathematical and algorithmic contributions have been made to DNA analysis and computing. Cost minimization, deployment, and sensitivity analysis to many factors are all components of sequencing platforms built on a quantitative framework and their operating mechanisms. This study aims to investigate the role of DNA sequencing and its representation in the form of graphs in the analysis of different diseases by means of DNA sequencing.

show abstract

Graphs Associated With DNA Rearrangements and Their Polynomials

Cited by 2 publications

References 39 publications

Computational Modelling: A Study of Different DNA Sequencing Using DNA Graphs

Computational Modelling: A Study of Different DNA Sequencing Using DNA Graphs

Different DNA Sequencing Using DNA Graphs: A Study

Contact Info

Product

Resources

About