From: Experimental design and quantitative analysis of microbial community multiomics
Tool | Data type | Requires reference genome? | Method to resolve ambiguous reads | New strain detection | Recommended minimal coverage | Reference |
---|---|---|---|---|---|---|
Oligotyping | 16S | – | – | – | – | [42] |
Long-read 16S | 16S | – | – | – | – | [119] |
Minimum entropy decomposition | 16S | – | – | – | – | [39] |
OTU subpopulations | 16S | – | – | – | – | [40] |
LEA-seq | 16S | – | – | – | – | [41] |
DADA2 | 16S | No | Poisson modeling of sequence errors (the Divisive Amplicon Denoising Algorithm) | Yes | – | [43] |
UNOISE2 | 16S | No | Abundance-based identification of sequencing errors | Yes | – | [44] |
Deblur | 16S | No | Abundance-based identification of sequencing errors | Yes | – | [45] |
Megan | WGS | Yes | Lowest common ancestor algorithm | No | Not reported | [120] |
GSMer | WGS | Yes | Unique strain-level markers (k-mers) | No | 0.25× | [121] |
WG-FAST | WGS | Yes | SNVs | No | 3× | [122] |
StrainPhlAn | WGS | Yes | SNVs within species-level marker genes | Yes | 10× | [6] |
PanPhlAn | WGS | Yes | Unique combinations of species-level marker genes | Yes | 1× | [6] |
MIDAS | WGS | Yes | Unique strain-level marker genes | Yes | Not reported | [37] |
Sigma | WGS | Yes | Likelihood-based | No | 0.027× | [123] |
PathoScope | WGS | Yes | Likelihood-based | No | Less than 1× | [124] |
ConStrains | WGS | Yes | Inferred haplotype-like SNP profiles | Yes | 10× | [4] |
LSA | WGS | De novo assembly | SVD-based K-mer clustering | Yes (not validated) | 25 ~ 50× | [125] |
CNV-based methods | WGS | Yes | Target gene or region copy number variation | [126] |