CIT: A Cluster Identification Tool based on Biclustering and Hierarchical Clustering
- *Corresponding Author:
- Dr. Asif Mir
Department of Biosciences
COMSATS Institue of Information Technology (CIIT)
Chak Shazad Campus, Islamabad-44000, PAKISTAN
E-mail : [email protected]
Received Date: May 10, 2008; Accepted Date: May 16, 2009; Published Date: May 16, 2009
Citation: Hussain T, Mazhar A, Din AU, Mir A (2009) CIT: A Cluster Identification Tool based on Biclustering and Hierarchical Clustering. J Proteomics Bioinform 2: 222-225. doi: 10.4172/jpb.1000080
Copyright: © 2009 Hussain T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Cluster analysis is one of the most popular techniques applied in microarray data studies. Thousands of genes can be analyzed within minutes if cluster analysis is embedded in a computational tool. With such modern technologies, it has now become easier to find practical manifestations of microarray data in the fields of pharmacogenomics, cancer genetics and biological network construction. With this project work, we have developed a cluster identifying tool, i.e. CIT which is based on two different clustering methodologies namely; Biclustering and Hierarchical Clustering. We intend to embrace new possibilities in CIT in future, like; dendogram view, interactive outputs etc.