A Statistical Similarity/Dissimilarity Analysis of Protein Sequences Based on a Novel Group Representative Vector.

ABSTRACT: Similarity/dissimilarity analysis is a key way of understanding the biology of an organism by knowing the origin of the new genes/sequences. Sequence data are grouped in terms of biological relationships. The number of sequences related to any group is susceptible to be increased every day. All the present alignment-free methods approve the utility of their approaches by producing a similarity/dissimilarity matrix. Although this matrix is clear, it measures the degree of similarity among sequences individually. In our work, a representative of each of three groups of protein sequences is introduced. A similarity/dissimilarity vector is evaluated instead of the ordinary similarity/dissimilarity matrix based on the group representative. The approach is applied on three selected groups of pro

SUBMITTER: Abd Elwahaab MA 

PROVIDER: S-EPMC6530227 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature