Parallel Approach for Visual Clustering of Protein Databases

Year, pages: 2010, 1221 - 1231

Visualization 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.

Orzechowski, P., Boryczko, K. 2010. Parallel Approach for Visual Clustering of Protein Databases. In Computing and Informatics, vol. 29, no.6+, pp. 1221-1231. 1335-9150.

Orzechowski, P., Boryczko, K. (2010). Parallel Approach for Visual Clustering of Protein Databases. Computing and Informatics, 29(6+), 1221-1231. 1335-9150.