Table 2.
Supported OTU picking methods in QIIME, with a brief description of the algorithm employed and in which OTU picking approach can be used.
Method | Picking approach | Description | Reference | ||
---|---|---|---|---|---|
denovo | closed reference | open reference | |||
cd-hit | yes | - | - | Applies a “longest-sequence-first list removal algorithm” to cluster sequences. | Li and Godzik (2006) Li, Jaroszewski, and Godzik (2001) |
Mothur | yes | - | - | Takes an aligned set of sequences and clusters them using a nearest-neighbor, furthest-neighbor or average-neighbor algorithm. | Schloss et al. (2009) |
prefix/suffix | yes | - | - | Clusters sequences which are identical in their first and/or last bases. | QIIME team, unpublished |
Trie | yes | - | - | Clusters sequences which are identical sequences and sequences which are subsequences of other sequences. | QIIME team, unpublished |
blast | - | yes | - | Compares and clusters each sequence against a reference database of sequences. | Altschul et al. (1990) |
uclust | yes | yes | yes | Creates seed sequences which generate clusters based on percent identity. | Edgar (2010) |
usearch | yes | yes | yes | Creates seed sequences which generate clusters based on percent identity, filters low abundance clusters and performs de novo and reference based chimera detection. | Edgar (2010) |