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DRISEE overestimates errors in metagenomic sequencing data
2013
Briefings in Bioinformatics
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
doi:10.1093/bib/bbt010
pmid:23698723
pmcid:PMC4171678
fatcat:ufns5j5cpzdq3irb3sztpzfavm