scholarly journals Similarity Analysis of DNA Sequences Based on the Chemical Properties of Nucleotide Bases, Frequency and Position of Group Mutations

2016 ◽  
Author(s):  
Fatima KABLI ◽  
Reda Mohamed HAMOU ◽  
Abdelmalek AMINE
Keyword(s):  
Dna Sequences ◽  
Chemical Properties ◽  
Similarity Analysis ◽  
Nucleotide Bases

Similarity analysis of DNA sequences based on the weighted pseudo-entropy

2010 ◽  
Vol 32 (4) ◽  
pp. 675-680 ◽  
Author(s):  
Chun Li ◽  
Hong Ma ◽  
Yang Zhou ◽  
Xiaolei Wang ◽  
Xiaoqi Zheng
Keyword(s):  
Dna Sequences ◽  
Similarity Analysis

A New Approach for DNA Sequence Similarity Analysis based on Triplets of Nucleic Acid Bases

2010 ◽  
Vol 2 (4) ◽  
pp. 1-11
Author(s):  
Dan Wei ◽  
Qingshan Jiang ◽  
Sheng Li
Keyword(s):  
Nucleic Acid ◽  
Dna Sequence ◽  
Dna Sequences ◽  
Sequence Similarity ◽  
Similarity Analysis ◽  
Biological Sequence ◽  
Nucleic Acid Bases ◽  
New Approach ◽  
Characteristic Distribution ◽  
Sequence Similarity Analysis

Similarity analysis of DNA sequences is a fundamental research area in Bioinformatics. The characteristic distribution of L-tuple, which is the tuple of length L, reflects the valuable information contained in a biological sequence and thus may be used in DNA sequence similarity analysis. However, similarity analysis based on characteristic distribution of L-tuple is not effective for the comparison of highly conservative sequences. In this paper, a new similarity measurement approach based on Triplets of Nucleic Acid Bases (TNAB) is introduced for DNA sequence similarity analysis. The new approach characterizes both the content feature and position feature of a DNA sequence using the frequency and position of occurrence of TNAB in the sequence. The experimental results show that the approach based on TNAB is effective for analysing DNA sequence similarity.

scholarly journals A Quasi-MQ EMD method for similarity analysis of DNA sequences

2011 ◽  
Vol 24 (12) ◽  
pp. 2052-2058 ◽  
Author(s):  
Jihong Zhang ◽  
Renhong Wang ◽  
Fenglan Bai ◽  
Junsheng Zheng
Keyword(s):  
Dna Sequences ◽  
Similarity Analysis ◽  
Emd Method

scholarly journals Estimation of Similarity between DNA Sequences and Its Graphical Representation

2020 ◽  
Vol 9 (1) ◽  
pp. 43-51
Keyword(s):  
Sequence Analysis ◽  
Molecular Biology ◽  
Dna Sequence ◽  
Dna Sequences ◽  
Graphical Representation ◽  
Similarity Analysis ◽  
Biological Sequence ◽  
Field Of Study ◽  
Biological Sequence Analysis ◽  
Wide Range

Bioinformatics, which is now a well known field of study, originated in the context of biological sequence analysis. Recently graphical representation takes place for the research on DNA sequence. Research in biological sequence is mainly based on the function and its structure. Bioinformatics finds wide range of applications specifically in the domain of molecular biology which focuses on the analysis of molecules viz. DNA, RNA, Protein etc. In this review, we mainly deal with the similarity analysis between sequences and graphical representation of DNA sequence.

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