Inferring patterns in mitochondrial DNA sequences through hypercube independent spanning trees

Silva, Eduardo Sant’Ana da; Pedrini, Hélio

doi:10.1016/j.compbiomed.2016.01.004

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…The ionization potential with single and double excitations was estimated by means of equation of motion coupled cluster trick, and VIEs is estimated in terms of density functional theory with dispersion corrected omega B97x-D (Chakraborty and Ghosh, 2016). A studied on how to build independent spanning trees on hypercubes and how to use them to predict mitochondrial DNA sequence parts through paths on the hypercube (da Silva and Pedrini, 2016). An alignment-free technology for DNA sequence similarity analysis based on graph theory concepts and genetic codes (Jafarzadeh and Iranmanesh, 2016a, Jafarzadeh and Iranmanesh, 2016b).…”

Section: Introductionmentioning

confidence: 99%

Study of biological networks using graph theory

Gao

Siddiqui

et al. 2018

Saudi Journal of Biological Sciences

243

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As an effective modeling, analysis and computational tool, graph theory is widely used in biological mathematics to deal with various biology problems. In the field of microbiology, graph can express the molecular structure, where cell, gene or protein can be denoted as a vertex, and the connect element can be regarded as an edge. In this way, the biological activity characteristic can be measured via topological index computing in the corresponding graphs. In our article, we mainly study the biology features of biological networks in terms of eccentric topological indices computation. By means of graph structure analysis and distance calculating, the exact expression of several important eccentric related indices of hypertree network and tree are determined. The conclusions we get in this paper illustrate that the bioengineering has the promising application prospects.

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Section: Introductionmentioning

confidence: 99%