Here we report a benchmark of the effect of bootstrap cut-off values of the RDP Classifier tool in terms of data retention along the different taxonomic ranks by using Illumina reads. Results provide guidelines for planning sequencing depths and selection of bootstrap cut-off in taxonomic assignments.
Evaluation of the Performances of Ribosomal Database Project (RDP) Classifier for Taxonomic Assignment of 16S rRNA Metabarcoding Sequences Generated from Illumina-Solexa NGS / G.Bacci; A.Bani; M.Bazzicalupo; M.T.Ceccherini; M.Galardini; P.Nannipieri; G.Pietramellara; A.Mengoni. - In: JOURNAL OF GENOMICS. - ISSN 1839-9940. - ELETTRONICO. - 3:(2015), pp. 36-39. [10.7150/jgen.9204]
Evaluation of the Performances of Ribosomal Database Project (RDP) Classifier for Taxonomic Assignment of 16S rRNA Metabarcoding Sequences Generated from Illumina-Solexa NGS
BACCI, GIOVANNI;BAZZICALUPO, MARCO;CECCHERINI, MARIA TERESA;GALARDINI, MARCO;NANNIPIERI, PAOLO;PIETRAMELLARA, GIACOMO;MENGONI, ALESSIO
2015
Abstract
Here we report a benchmark of the effect of bootstrap cut-off values of the RDP Classifier tool in terms of data retention along the different taxonomic ranks by using Illumina reads. Results provide guidelines for planning sequencing depths and selection of bootstrap cut-off in taxonomic assignments.
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