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This article is part of the supplement: Proceedings of the Tenth Annual Research in Computational Molecular Biology (RECOMB) Satellite Workshop on Comparative Genomics

Open Access Proceedings

ARG-based genome-wide analysis of cacao cultivars

Filippo Utro1, Omar Eduardo Cornejo2, Donald Livingstone3, Juan Carlos Motamayor4 and Laxmi Parida1*

Author Affiliations

1 Computational Biology Center, IBM T. J. Watson Research, Yorktown Heights, NY 10598, USA

2 Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305-5120, USA

3 USDA, Miami, FL 33186, USA

4 Mars Inc., Miami, FL 33158, USA

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BMC Bioinformatics 2012, 13(Suppl 19):S17  doi:10.1186/1471-2105-13-S19-S17

Published: 19 December 2012

Additional files

Additional file 1:

Supplementary Material. The complete set of results for the: (a) the classical clustering algorithms in conjunction with the Euclidean distance; (b) the hiarchical clustering algorithms in conjunction with the distance matrix obtained from the Ensemble method; (c) all the results not included in the main manuscript for the Solo and Ensemble Methods.

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