Table 1 Performance descriptors for the best methods ranked according to MCC at every taxonomic level.

From: Analysis of sequencing strategies and tools for taxonomic annotation: Defining standards for progressive metagenomics

Taxonomic level

16S rRNA amplicon

Whole Metagenome Shotgun

Method

MCC

ACC

Speca

Sensb

Method

MCC

ACC

Speca

Sensb

Phylum

QIIME-RDP

1.000

1.000

1.000

1.000

Parallel-meta-GG

0.997

1.000

1.000

0.999

Class

Metaxa2-MTX

0.961

0.996

0.944

0.999

MOCAT

0.991

0.997

0.996

1.000

Order

QIIME-MTX

0.824

0.98

0.753

0.996

MOCAT

0.990

0.997

0.996

1.000

Family

QIIME-MTX

0.553

0.916

0.374

0.995

MOCAT

0.974

0.992

0.99

1.000

Genus

Parallel-meta-MTX

0.607

0.928

0.399

1.000

MOCAT

0.885

0.966

0.959

1.000

Species

Parallel-meta-MTX

0.083

0.661

0.147

0.908

MOCAT

0.824

0.948

0.940

1.000

Subspecies

SPINGO-MTX

0.061

0.249

0.898

0.213

MetaPhlAn2

0.546

0.736

0.947

0.64

  1. aSpecificity; bSensitivity.
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