Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
- PMID: 23202435
- PMCID: PMC3531572
- DOI: 10.1038/nmeth.2276
Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
Abstract
High-throughput sequencing has revolutionized microbial ecology, but read quality remains a considerable barrier to accurate taxonomy assignment and α-diversity assessment for microbial communities. We demonstrate that high-quality read length and abundance are the primary factors differentiating correct from erroneous reads produced by Illumina GAIIx, HiSeq and MiSeq instruments. We present guidelines for user-defined quality-filtering strategies, enabling efficient extraction of high-quality data and facilitating interpretation of Illumina sequencing results.
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