Sana Munquad
National Institute of Technology, India
Title: A computational approach to study evolutionary relationship of Triticea tribe and estimate the divergence time
Biography
Biography: Sana Munquad
Abstract
Phylogenetic analysis of genomic sequences of plant species of can reveal crucial information and knowledge for understanding Evolutionary relationship, functions and interactions of their sequences. The traditional methods of drawing phylogenetic tree different tools are available. The sequences data belongs to the same group have similar characters, by which results are concluded. Here an attempt has been made to find out a similar plant species which belong to the same group on the basis of their genomic sequences have same characteristics. 110 sequences of plant species are downloaded from NCBI and screened for redundancy to obtain non redundant sequences. The level k network is applied among the sequence data and the most appropriate cluster groups are developed. Using their genomic sequence find out their divergence time and also find the conserved regions among the plant species like Secale cereal, Triticum aestivum, Hordeum vulgare and Zea mays and their subspecies. The genomic sequence data are explored and analysed using phylogenetic analysis approach.