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...

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Detalles Bibliográficos
Autores principales: Park, Sung-Joon, Onizuka, Satoru, Seki, Masahide, Suzuki, Yutaka, Iwata, Takanori, Nakai, Kenta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
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

Internet

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

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