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Oxford University Press (OUP), Bioinformatics, 10(29), p. 1268-1274

DOI: 10.1093/bioinformatics/btt149

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Density-based hierarchical clustering of pyro-sequences on a large scale—the case of fungal ITS1

Journal article published in 2013 by Marco Pagni, Hélène Niculita-Hirzel, Loïc Pellissier, Anne Dubuis, Ioannis Xenarios ORCID, Antoine Guisan, Ian R. Sanders, Jérôme Goudet, Nicolas Guex
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Analysis of millions of pyro-sequences is currently playing a crucial role in the advance of environmental microbiology. Taxonomy-independent, i.e. unsupervised, clustering of these sequences is essential for the definition of Operational Taxonomic Units. For this application, reproducibility and robustness should be the most sought after qualities, but have thus far largely been overlooked.