Video talks on 16S data analysis posted.

URMAP ultra-fast read mapper posted (paper).

~20% of taxonomy annotations in SILVA and Greengenes are wrong (paper).

Taxonomy prediction is <50% accurate for 16S V4 sequences (paper).

97% OTU threshold is wrong for species, should be 99% for full-length 16S, 100% V4 (paper).

UNCROSS2 algorithm

See also
otutab_xtalk command

For description of the algorithm, see paper https://doi.org/10.1101/400762.

Reference (please cite)
R.C. Edgar (2018), UNCROSS2: identification of cross-talk in 16S rRNA OTU tables, https://doi.org/10.1101/400762
  • Cross-talk rate is approx. 1% in many Illumina datasets
  • Cross-talk can cause false positive core microbiome
  • UNCROSS2 algorithm for filtering cross-talk