|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 150 - Issue 11 |
| Published: Sep 2016 |
| Authors: R. Rambabu, P. Srinivasa Rao |
10.5120/ijca2016911666
|
R. Rambabu, P. Srinivasa Rao . A Group Average Cluster Analysis of Few IGF1R Sequences using Modified Group Average Link Clustering Algorithm. International Journal of Computer Applications. 150, 11 (Sep 2016), 42-46. DOI=10.5120/ijca2016911666
@article{ 10.5120/ijca2016911666,
author = { R. Rambabu,P. Srinivasa Rao },
title = { A Group Average Cluster Analysis of Few IGF1R Sequences using Modified Group Average Link Clustering Algorithm },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 150 },
number = { 11 },
pages = { 42-46 },
doi = { 10.5120/ijca2016911666 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A R. Rambabu
%A P. Srinivasa Rao
%T A Group Average Cluster Analysis of Few IGF1R Sequences using Modified Group Average Link Clustering Algorithm%T
%J International Journal of Computer Applications
%V 150
%N 11
%P 42-46
%R 10.5120/ijca2016911666
%I Foundation of Computer Science (FCS), NY, USA
Clustering techniques have been widely used in the fields of information technology, biomedical sciences. Cluster analysis deals with the identification of a set of objects into subsets with some sort of similarities. Such groups are assigned to have similar function. In this paper, a modified group average clustering program was written in python language and applied on a dataset of IGF1R protein sequences to generate orthologous clusters of sequences and the phylogenetic trees were presented.