期刊
NATURE METHODS
卷 11, 期 11, 页码 1144-1146出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3103
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资金
- COST project [ES1103]
- Swedish Research Councils VR [2011-5689]
- FORMAS [2009-1174]
- EC BONUS project BLUEPRINT
- EPSRC Career Acceleration Fellowship [EP/H003851/1]
- Unilever R&D Port Sunlight, Bebington, UK
- Academy of Finland [256950]
- UK Medical Research Council Special Training Fellowship in Biomedical Informatics
- UK National Institute for Health Research (NIHR) Centre for Surgical Reconstruction and Microbiology
- NIHR Surgical Reconstruction and Microbiology Research Centre
- Academy of Finland (AKA) [256950, 256950] Funding Source: Academy of Finland (AKA)
- Engineering and Physical Sciences Research Council [EP/H003851/1] Funding Source: researchfish
- Medical Research Council [MR/J014370/1, MR/L015080/1] Funding Source: researchfish
- Natural Environment Research Council [NE/L011956/1] Funding Source: researchfish
- EPSRC [EP/H003851/1] Funding Source: UKRI
- MRC [MR/L015080/1, MR/J014370/1] Funding Source: UKRI
- NERC [NE/L011956/1] Funding Source: UKRI
Shotgun sequencing enables the reconstruction of genomes from complex microbial communities, but because assembly does not reconstruct entire genomes, it is necessary to bin genome fragments. Here we present CONCOCT, a new algorithm that combines sequence composition and coverage across multiple samples, to automatically cluster contigs into genomes. We demonstrate high recall and precision on artificial as well as real human gut metagenome data sets.
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