Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences

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Narayan, Nicole R.
Weinmaier, Thomas
Laserna-Mendieta, Emilio J.
Claesson, Marcus J.
Shanahan, Fergus
Dabbagh, Karim
Iwai, Shoko
DeSantis, Todd Z.
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BioMed Central Ltd.
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Shotgun metagenomic sequencing reveals the potential in microbial communities. However, lower-cost 16S ribosomal RNA (rRNA) gene sequencing provides taxonomic, not functional, observations. To remedy this, we previously introduced Piphillin, a software package that predicts functional metagenomic content based on the frequency of detected 16S rRNA gene sequences corresponding to genomes in regularly updated, functionally annotated genome databases. Piphillin (and similar tools) have previously been evaluated on 16S rRNA data processed by the clustering of sequences into operational taxonomic units (OTUs). New techniques such as amplicon sequence variant error correction are in increased use, but it is unknown if these techniques perform better in metagenomic content prediction pipelines, or if they should be treated the same as OTU data in respect to optimal pipeline parameters.
Metagenomics , Phylogenetic analysis , Sequence alignment , Shotgun sequencing , Genomic databases
Narayan, N. R., Weinmaier, T., Laserna-Mendieta, E. J., Claesson, M. J., Shanahan, F., Dabbagh, K., Iwai, S. and DeSantis, T. Z. (2020) 'Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences', BMC Genomics, 21(1), 56 (12pp). doi: 10.1186/s12864-019-6427-1
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