This article is part of the supplement: Selected articles from the 7th International Symposium on Bioinformatics Research and Applications (ISBRA'11)

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A systematic comparison of genome-scale clustering algorithms

Jeremy J Jay1, John D Eblen2, Yun Zhang3, Mikael Benson4, Andy D Perkins5, Arnold M Saxton6, Brynn H Voy6, Elissa J Chesler1 and Michael A Langston6*

Author Affiliations

1 The Jackson Laboratory, Bar Harbor, ME 04609, USA

2 Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

3 Pioneer Hi-Bred International Incorporated, Johnston, IA 50131, USA

4 Linköping University, SE-581 85, Linköping, Sweden

5 Mississippi State University, Mississippi State, MS 39762, USA

6 University of Tennessee, Knoxville, TN 37996, USA

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BMC Bioinformatics 2012, 13(Suppl 10):S7  doi:10.1186/1471-2105-13-S10-S7

Published: 25 June 2012

Additional files

Additional file 1:

Clusterings compared using the variation of information metric. Results of a pairwise comparison using the variation of information metric is shown. Each entry consists of a minimum and maximum variation of information value of clusters for each pair of methods and selection of parameters. High values indicate very different cluster structures while low values indicate similarity. Values on the main diagonal indicate within-method consistency, with a small range indicating that parameters have little effect on clustering results.

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