Publication Type:

Journal Article

Source:

International Journal of Engineering and Technology, Engg Journals Publications, Volume 8, Number 1, p.287-292 (2016)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84960477788&partnerID=40&md5=d6c7cd1d6885a0949dabf5b44627c30d

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.

Notes:

cited By 0

Cite this Research Publication

B. J. Bipin Nair, Sujith, Mb, and Alphonsa, M. V., “Self-regulating exploration for orthologous in homologous hematologic gene sequence data using UPGMA method”, International Journal of Engineering and Technology, vol. 8, pp. 287-292, 2016.