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A systematic sequencing-based approach for microbial contaminant detection and functional inference
BACKGROUND: Microbial contamination poses a major difficulty for successful data analysis in biological and biomedical research. Computational approaches utilizing next-generation sequencing (NGS) data offer promising diagnostics to assess the presence of contaminants. However, as host cells are oft...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743104/ https://www.ncbi.nlm.nih.gov/pubmed/31519179 http://dx.doi.org/10.1186/s12915-019-0690-0 |