MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms
Abstract Background Many methods have been developed for metagenomic sequence classification, and most of them depend heavily on genome sequences of the known organisms. A large portion of sequencing sequences may be classified as unknown, which greatly impairs our understanding of the whole sample....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-08-01
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| Series: | Biology Direct |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13062-018-0220-y |