BioLayout—an automatic graph layout algorithm for similarity visualization | Zendy

Anton J. Enright | Zendy; Christos Ouzounis | Zendy

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BioLayout—an automatic graph layout algorithm for similarity visualization

Author(s) -

Anton J. Enright,

Christos Ouzounis

Publication year - 2001

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/17.9.853

Subject(s) - computer science , visualization , graph layout , similarity (geometry) , graph , theoretical computer science , graph drawing , data mining , unix , algorithm , software , artificial intelligence , programming language , image (mathematics)

Graph layout is extensively used in the field of mathematics and computer science, however these ideas and methods have not been extended in a general fashion to the construction of graphs for biological data. To this end, we have implemented a version of the Fruchterman Rheingold graph layout algorithm, extensively modified for the purpose of similarity analysis in biology. This algorithm rapidly and effectively generates clear two (2D) or three-dimensional (3D) graphs representing similarity relationships such as protein sequence similarity. The implementation of the algorithm is general and applicable to most types of similarity information for biological data.

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