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• W2086865963 abstract "A systematic evaluation of parameters that affect short amplicons sequenced on Illumina platforms provides guidelines for how to eliminate erroneous reads and improve data interpretation. 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." @default.
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• W2086865963 date "2013-01-01" @default.
• W2086865963 modified "2023-10-18" @default.
• W2086865963 title "Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing" @default.
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• W2086865963 doi "https://doi.org/10.1038/nmeth.2276" @default.
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