Towards precision quantification of contamination in metagenomic sequencing experiments.
Ontology highlight
ABSTRACT: Metagenomic next-generation sequencing (mNGS) experiments involving small amounts of nucleic acid input are highly susceptible to erroneous conclusions resulting from unintentional sequencing of occult contaminants, especially those derived from molecular biology reagents. Recent work suggests that, for any given microbe detected by mNGS, an inverse linear relationship between microbial sequencing reads and sample mass implicates that microbe as a contaminant. By associating sequencing read output with the mass of a spike-in control, we demonstrate that contaminant nucleic acid can be quantified in order to identify the mass contributions of each constituent. In an experiment using a high-resolution (n = 96) dilution series of HeLa RNA spanning 3-logs of RNA mass input, we identified a com
SUBMITTER: Zinter MS
PROVIDER: S-EPMC6469116 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA