Tracking down the sources of experimental contamination in microbiome studies

HIGHLIGHTS

• who: Weiss et_al Genome Biology and collaborators from the Concluding remarks Owing to the high sensitivity of high-throughput sequencingbased microbiome analysis, reproducibility (how well the results repeat themselves) and bias (how well the results reflect the reality) can be a major concernThe work of Salter and colleagues [4] is a springboard from which microbiome researchers, who have been controlling for contamination primarily within individual labs, can begin to build a consensus for laboratory and bioinformatics approaches, thus helping researchers avoid spurious results and saving valuable money, time and effort. This work builds on previous studies [8 . . .
  

   

  

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