Cargando…
MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage
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 profiling...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873667/ https://www.ncbi.nlm.nih.gov/pubmed/31757198 http://dx.doi.org/10.1186/s12859-019-2904-4 |