Analyzing Similarity Of Biological Sequence Based On Area Invariant

Based on the completeness of genome sequencing projects of the Human,Arabidopsis thalia-na,Rice and the research on protein sequences,more and more molecular sequences data have been generated. The need to analyze,process and store these data is integrating the mathematics and computer sciences into the molecular biology. This need has created a new interdisciplinary field composed of information science,computer science,life sciences, mathemat-ics,statistics, physics,chemistry and so forth,which is called computational molecular biology. Computational molecular biology is mainly deal with complex computations involving gene sequences,protein sequences by mathematics and computer science. This dissertation mainly introduce the similarity analysis of biological sequences and the construction of phylogenetic trees. The main contents of this thesis can be summarized as follows:In this paper,based on the graphical representations of DNA sequences.we proposed a new invariant to characterize the similarity of DNA sequence,namely the average area by occupied by curve of DNA sequence and the X axis. Then we take the 11 kinds of species' the firstβglobin as an example,and employe the method to analyze the similarity of them and construct their phylogenetic trees successfully.The method does not require sequence alignment and is very simple and has high veracity.