Unsupervised statistical clustering of environmental shotgun sequences

BACKGROUND: The development of effective environmental shotgun sequence binning methods remains an ongoing challenge in algorithmic analysis of metagenomic data. While previous methods have focused primarily on supervised learning involving extrinsic data, a first-principles statistical model combin...

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Detalles Bibliográficos
Autores principales: Kislyuk, Andrey, Bhatnagar, Srijak, Dushoff, Jonathan, Weitz, Joshua S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765972/
https://www.ncbi.nlm.nih.gov/pubmed/19799776
http://dx.doi.org/10.1186/1471-2105-10-316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2765972/
https://www.ncbi.nlm.nih.gov/pubmed/19799776
http://dx.doi.org/10.1186/1471-2105-10-316

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