A systematic sequencing-based approach for microbial contaminant detection and functional inference

A systematic sequencing-based approach for microbial contaminant detection and functional inference

Abstract 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...

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Bibliographic Details
Main Authors: Sung-Joon Park, Satoru Onizuka, Masahide Seki, Yutaka Suzuki, Takanori Iwata, Kenta Nakai
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Biology
Subjects:
Contamination
Mycoplasma
Host-microbe interaction
Next-generation sequencing
Non-negative matrix factorization
Online Access:http://link.springer.com/article/10.1186/s12915-019-0690-0

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http://link.springer.com/article/10.1186/s12915-019-0690-0

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