KrakenUniq: confident and fast metagenomics classification using unique k-mer counts
Abstract False-positive identifications are a significant problem in metagenomics classification. We present KrakenUniq, a novel metagenomics classifier that combines the fast k-mer-based classification of Kraken with an efficient algorithm for assessing the coverage of unique k-mers found in each s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-11-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13059-018-1568-0 |