Table 1.
The comparison of properties of taxonomical and functional analyses for metagenomic samples.
Figure 1.
The overall framework of Parallel-META 2.0.
Table 2.
Information about multiple 16S rRNA reference databases.
Figure 2.
The dual computational engines for functional analysis in Parallel-META 2.0.
Figure 3.
The visualization effects for different kinds of results.
(A) Global view, (B) Sample view, (C) Sub-sample view and (D) Phylogenetic view, (E) Sample view for SEED based functional analysis, and (F) GO-term based analysis.
Table 3.
Information about real metagenomic datasets.
Table 4.
Information about simulated metagenomic datasets.
Figure 4.
Running time of Parallel-META 1.0 and 2.0 with the same datasets and reference database (Greengenes).
The Y-axis is in 10-based log scale.
Figure 5.
Error rate of taxonomical analysis of Parallel-META 1.0 and 2.0 with simulated data based on different databases at (A) phylum level and (B) genus level.
Table 5.
Average error rate of taxonomical analysis of Parallel-META 2.0.
Figure 6.
Multiple sample comparison by Parallel-META 2.0.
Figure 7.
Functional annotation results by GO-term based method.
Figure 8.
Functional annotation results by SEED based method.
Table 6.
Statistical results of Parallel-META 2.0 functional analysis.