SEK: sparsity exploiting k-mer-based estimation of bacterial community composition

Chatterjee, S., Koslicki, D., Dong, S., Innocenti, N., Cheng, L. ORCID: https://orcid.org/0000-0002-6391-2360, Lan, Y., Vehkapera, M., Skoglund, M., Rasmussen, L. K., Aurell, E. and Corander, J. 2014. SEK: sparsity exploiting k-mer-based estimation of bacterial community composition. Bioinformatics 30 (17) , 2423–2431. 10.1093/bioinformatics/btu320

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Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences
Publisher:	Oxford University Press (OUP): Policy B - Oxford Open Option B
ISSN:	1367-4803
Date of Acceptance:	30 April 2014
Last Modified:	25 Oct 2022 13:46
URI:	https://orca.cardiff.ac.uk/id/eprint/120719

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