期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Genome Sequencing Using Graph Theory Approach
1
作者 Shepherd Chikomana Xiaoxue Hu 《Open Journal of Discrete Mathematics》 2023年第2期39-48,共10页
Genome sequencing is the process of determining in which order the nitrogenous bases also known as nucleotides within a DNA molecule are arranged. Every organism’s genome consists of a unique sequence of nucleotides.... Genome sequencing is the process of determining in which order the nitrogenous bases also known as nucleotides within a DNA molecule are arranged. Every organism’s genome consists of a unique sequence of nucleotides. These nucleotides bases provide the phenotypes and genotypes of a cell. In mathematics, Graph theory is the study of mathematical objects known as graphs which are made of vertices (or nodes) connected by either directed edges or indirect edges. Determining the sequence in which these nucleotides are bonded can help scientists and researchers to compare DNA between organisms, which can help show how the organisms are related. In this research, we study how graph theory plays a vital part in genome sequencing and different types of graphs used during DNA sequencing. We are going to propose several ways graph theory is used to sequence the genome. We are as well, going to explore how the graphs like Hamiltonian graph, Euler graph, and de Bruijn graphs are used to sequence the genome and advantages and disadvantages associated with each graph. 展开更多
关键词 DNA Sequencing Hamiltonian graph Euler graph de Bruijn graph NUCLEOTIDE
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部