Table 1.
Tools | MicrobiomeAnalyst | VAMPS | Namco | gcMeta | MIAN | |
---|---|---|---|---|---|---|
2.0 | 1.0 | |||||
Platform | Web | Web | Web (registration) | R Shiny | Web (registration) | Web (registration) |
Input | FASTQ, count tables, BIOM, mothur | Same as 2.0 except FASTQ | FASTQ | FASTQ | FASTQ | Count tables; BIOM |
Community profiling | ||||||
Diversity | +++ | +++ | + | ++ | – | ++ |
Clustering | +++ | ++ | – | ++ | – | – |
Correlation | +++ | ++ | – | ++ | – | ++ |
Statistical analysis | ||||||
Processing | +++ | +++ | ++ | ++ | + | ++ |
Comparison | Single/multi- factors | Single factor | Single factor | Single/multi-factor | Single factor | Single factor |
Biomarker | ++ | ++ | – | ++ | + | +++ |
Time series | + | – | – | ++ | – | – |
Functional profiling | ||||||
Functional prediction | PICRUSt, Tax4Fun, Tax4Fun2 | PICRUSt, Tax4Fun | – | PICRUSt2 | PICRUSt | – |
Functional annotation | COG, KEGG, GEM | COG, KEGG | – | KEGG | KEGG | – |
Network visualization | Contextualized | Generic | – | – | – | – |
Co-analysis with metabolomics data | ||||||
Dimension reduction | Procrustes & DIABLO | – | – | – | – | – |
Pathway enrichment | KO, targeted or untargeted metabolomics | – | – | – | – | – |
Correlation analysis | Statistical and GEM based correlation | – | – | – | – | – |
Meta-analysis | ||||||
Visual exploration | + | – | – | – | – | – |
Statistical analysis | + | – | – | – | – | – |
Integration with public data | + | + | + | – | – | – |
Taxon set analysis | ++ | + | – | – | – | – |
VAMPS: https://vamps2.mbl.edu/; gcMeta: https://gcmeta.wdcm.org; Namco: https://exbio.wzw.tum.de/namco; MIAN: https://miandata.org/projects.