Kuijper, Arjan ; Havukkala, Ilkka (2013)
Comparing Bitmapped Microrna Structure Images using Mutual Symmetry.
In: International Journal of Image and Graphics, 13 (3)
doi: 10.1142/S0219467813500083
Artikel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2013 |
| Autor(en): | Kuijper, Arjan ; Havukkala, Ilkka |
| Art des Eintrags: | Bibliographie |
| Titel: | Comparing Bitmapped Microrna Structure Images using Mutual Symmetry |
| Sprache: | Englisch |
| Publikationsjahr: | 2013 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | International Journal of Image and Graphics |
| Jahrgang/Volume einer Zeitschrift: | 13 |
| (Heft-)Nummer: | 3 |
| DOI: | 10.1142/S0219467813500083 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Bioinformatics, Image analysis, Similarity measures, Shape matching, Visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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