MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage
Abstract Motivation Sequencing technologies allow the sequencing of microbial communities directly from the environment without prior culturing. Because assembly typically produces only genome fragments, also known as contigs, it is crucial to group them into putative species for further taxonomic p...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
BMC
2019-11-01
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| Rangatū: | BMC Bioinformatics |
| Ngā marau: | |
| Urunga tuihono: | http://link.springer.com/article/10.1186/s12859-019-2904-4 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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