DRISEE overestimates errors in metagenomic sequencing data

The extremely high error rates reported by Keegan et al. in ‘A platform-independent method for detecting errors in metagenomic sequencing data: DRISEE’ (PLoS Comput Biol 2012;8:e1002541) for many next-generation sequencing datasets prompted us to re-examine their results. Our analysis reveals that the presence of conserved artificial sequences, e.g. Illumina adapters, and other naturally occurring sequence motifs accounts for most of the reported errors. We conclude that DRISEE reports inflated levels of sequencing error, particularly for Illumina data. Tools offered for evaluating large datasets need scrupulous review before they are implemented.

• Publication year

  2013

• Venue

  Briefings Bioinform.

• Publication date

  2013-05-22

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1093/bib/bbt010PMID 23698723PMCID 4171678
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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