International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 150 - Issue 11 |
Published: Sep 2016 |
Authors: R. Rambabu, P. Srinivasa Rao |
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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.