4.7 Editorial Material

Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples

期刊

PLOS PATHOGENS
卷 10, 期 11, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.ppat.1004437

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资金

  1. NCI NIH HHS [F30 CA177267, F30CA177267, R01 CA138268, R01CA138268] Funding Source: Medline
  2. NIAID NIH HHS [R01AI106676, R01 AI101046, R01 AI106676, R01AI101046] Funding Source: Medline
  3. NIGMS NIH HHS [U54 GM104940, P20 GM103518, P20GM103518] Funding Source: Medline

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The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples.

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