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Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 513701, 10 pages
http://dx.doi.org/10.1155/2008/513701
Methodology Report

Using Growing Self-Organising Maps to Improve the Binning Process in Environmental Whole-Genome Shotgun Sequencing

1Dynamic Systems & Control Group, Department of Mechanical Engineering, University of Melbourne, VIC 3010, Australia
2Research Center for Biodiversity, Academia Sinica, Taipei 115, Taiwan

Received 31 August 2007; Accepted 18 November 2007

Academic Editor: Daniel Howard

Copyright © 2008 Chon-Kit Kenneth Chan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Chon-Kit Kenneth Chan, Arthur L. Hsu, Sen-Lin Tang, and Saman K. Halgamuge, “Using Growing Self-Organising Maps to Improve the Binning Process in Environmental Whole-Genome Shotgun Sequencing,” Journal of Biomedicine and Biotechnology, vol. 2008, Article ID 513701, 10 pages, 2008. https://doi.org/10.1155/2008/513701.