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).

Errors and biases in amplicon sequencing

  OTU accuracy
  Spurious OTUs are common in mock and real samples
  Tolstoy's paradox -- bad sequences are common even with very low sequence error rates
  Abundance bias -- read count has low correlation with species abundance
  Cross-talk -- many reads are assigned to the wrong sample