Parallel Approach for Visual Clustering of Protein Databases
Keywords:Clustering algorithms, proteins, sequence alignment, multidimensional scaling
AbstractVisualization of a large-scale protein databases may help biologists in discovering similarity between sequences of different organisms. In this article we present a complex approach for visually representing relations between proteins in large scale databases. Our approach includes sequence alignment, mutual distance measurement, clustering and classification of protein sequences. We propose a visual representation method for considered as well-established Pfam 4.0 proteins database. Our objective is to visually reflect the similarity of protein sequences in three dimensional space using non-standard approach.
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How to Cite
Orzechowski, P., & Boryczko, K. (2012). Parallel Approach for Visual Clustering of Protein Databases. COMPUTING AND INFORMATICS, 29(6+), 1221–1231. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/140