Articles with "clustering extremely" as a keyword



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DACE: a scalable DP‐means algorithm for clustering extremely large sequence data

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Published in 2017 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btw722

Abstract: Motivation: Advancements in next‐generation sequencing technology have produced large amounts of reads at low cost in a short time. In metagenomics, 16S and 18S rRNA gene have been widely used as marker genes to profile… read more here.

Keywords: dace; algorithm clustering; sequencing data; means algorithm ... See more keywords