Journal ID : AMA-05-12-2020-10466
[This article belongs to Volume - 44, Issue - 04]
Total View : 4924

Title : Automatic Investigation for Orthologous in Homologous Hematologic Gene Sequence Data Utilizing UPGMA Method

Abstract :

There are several distinct tools to identify orthologous gene sequence from homologous gene sequence. Identification of orthologous gene is a major issue, and it is found that orthologous genes are responsible for any genetic disorders. In this paper we are focusing on hematologic disorders and found that orthologous genes are primary actor of haematological disorders. Here we present a novel approach to explore orthologous genes in homologous hematologic gene sequence data and discover the relationship between hematologic genetic disorders through phylogenetic tree reconstruction using UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method

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