COMPARING BITMAPPED MICRORNA STRUCTURE IMAGES USING MUTUAL SYMMETRY

Author:

KUIJPER ARJAN1,HAVUKKALA ILKKA2

Affiliation:

1. Fraunhofer Institute for Computer Graphics Research, (IGD) & Technische Universität Darmstadt, Fraunhoferstrasse 5, 64283 Darmstadt, Germany

2. Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, New Zealand

Abstract

We present a high-throughput method for analyzing large-scale bitmapped bio-data: processing of elongated molecular structures by 2D images and analyzing their shapes for chemoinformatics databases. Two-dimensional structure databases are transfered to bitmap images — a commonly used visualization widely spread online. Then, an efficient clustering of the molecular structures is achieved by a mutual symmetry-based binary matrix representation of the shapes. We present a method to compute the difference between two of such representations and evaluate its performance with respect to time and quality of matching. In our tests we use two bitmap databases, one containing true human microRNA folded 2D structures and one with claimed human microRNA folded 2D structures. We show the stability of the matching with respect to parameterization and orientation of the shapes. Our method enables a good automatic clustering of structures with high visual similarity.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition

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